| fmvsm_l_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| æ–°å‡ ä½•1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| h-mvs33 | | | 0.30 40 | 0.30 41 | 0.30 45 | 0.30 52 | 0.30 52 | 0.30 52 | 0.30 53 | 0.30 52 | 0.30 51 | 0.30 49 | 0.30 51 | 0.30 52 | 0.30 50 | 0.30 50 | 0.30 50 |
|
| hse-mvs2 | | | 0.30 40 | 0.30 41 | 0.30 45 | 0.30 52 | 0.30 52 | 0.30 52 | 0.30 53 | 0.30 52 | 0.30 51 | 0.30 49 | 0.30 51 | 0.30 52 | 0.30 50 | 0.30 50 | 0.30 50 |
|
| CL-MVSNet_self_test | | | 0.30 40 | 0.30 41 | 0.30 45 | 0.30 52 | 0.30 52 | 0.30 52 | 0.30 53 | 0.30 52 | 0.30 51 | 0.30 49 | 0.30 51 | 0.30 52 | 0.30 50 | 0.30 50 | 0.30 50 |
|
| AUN-MVS | | | 0.30 40 | 0.30 41 | 0.30 45 | 0.30 52 | 0.30 52 | 0.30 52 | 0.30 53 | 0.30 52 | 0.30 51 | 0.30 49 | 0.30 51 | 0.30 52 | 0.30 50 | 0.30 50 | 0.30 50 |
|
| LCM-MVSNet | | | 0.37 44 | 0.36 45 | 0.37 49 | 0.37 56 | 0.37 56 | 0.37 56 | 0.32 57 | 0.37 56 | 0.37 55 | 0.37 53 | 0.37 55 | 0.37 56 | 0.37 54 | 0.37 54 | 0.37 54 |
|
| v144192 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v1921920 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v1192 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v1144 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v148 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v7n | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v1240 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v8 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v10 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| v2v482 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| V42 | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| GA-MVS | | | 0.40 45 | 0.40 46 | 0.40 50 | 0.40 57 | 0.40 57 | 0.40 57 | 0.40 59 | 0.40 57 | 0.40 56 | 0.40 54 | 0.40 56 | 0.40 57 | 0.40 55 | 0.40 55 | 0.40 55 |
|
| Fast-Effi-MVS+ | | | 0.41 57 | 0.40 46 | 0.41 62 | 0.41 69 | 0.41 69 | 0.41 69 | 0.35 58 | 0.41 69 | 0.41 68 | 0.41 66 | 0.41 68 | 0.41 69 | 0.41 67 | 0.41 67 | 0.41 67 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 58 | 0.44 59 | 0.44 63 | 0.44 70 | 0.44 70 | 0.44 70 | 0.44 71 | 0.44 70 | 0.44 69 | 0.44 67 | 0.44 69 | 0.44 70 | 0.44 68 | 0.44 68 | 0.44 68 |
|
| Effi-MVS+-dtu | | | 0.59 60 | 0.61 62 | 0.53 64 | 0.68 78 | 0.53 71 | 0.53 71 | 0.68 79 | 0.68 78 | 0.53 70 | 0.53 68 | 0.68 77 | 0.53 71 | 0.68 76 | 0.53 69 | 0.53 69 |
|
| KD-MVS_self_test | | | 0.60 61 | 0.60 61 | 0.60 65 | 0.60 72 | 0.60 72 | 0.60 73 | 0.60 73 | 0.60 72 | 0.60 71 | 0.60 69 | 0.60 71 | 0.60 72 | 0.60 69 | 0.60 71 | 0.60 70 |
|
| EIA-MVS | | | 0.62 62 | 0.62 63 | 0.62 66 | 0.62 73 | 0.62 73 | 0.62 74 | 0.62 74 | 0.62 73 | 0.62 72 | 0.62 70 | 0.62 72 | 0.62 73 | 0.62 70 | 0.62 72 | 0.62 71 |
|
| ETV-MVS | | | 0.62 62 | 0.62 63 | 0.62 66 | 0.62 73 | 0.62 73 | 0.62 74 | 0.62 74 | 0.62 73 | 0.62 72 | 0.62 70 | 0.62 72 | 0.62 73 | 0.62 70 | 0.62 72 | 0.62 71 |
|
| CS-MVS | | | 0.62 62 | 0.62 63 | 0.62 66 | 0.62 73 | 0.62 73 | 0.62 74 | 0.62 74 | 0.62 73 | 0.62 72 | 0.62 70 | 0.62 72 | 0.62 73 | 0.62 70 | 0.62 72 | 0.62 71 |
|
| SPE-MVS-test | | | 0.62 62 | 0.62 63 | 0.62 66 | 0.62 73 | 0.62 73 | 0.62 74 | 0.62 74 | 0.62 73 | 0.62 72 | 0.62 70 | 0.62 72 | 0.62 73 | 0.62 70 | 0.62 72 | 0.62 71 |
|
| Effi-MVS+ | | | 0.58 59 | 0.56 60 | 0.62 66 | 0.53 71 | 0.62 73 | 0.53 71 | 0.53 72 | 0.53 71 | 0.62 72 | 0.62 70 | 0.53 70 | 0.62 73 | 0.62 70 | 0.53 69 | 0.62 71 |
|
| EC-MVSNet | | | 0.62 62 | 0.62 63 | 0.62 66 | 0.62 73 | 0.62 73 | 0.62 74 | 0.62 74 | 0.62 73 | 0.62 72 | 0.62 70 | 0.62 72 | 0.62 73 | 0.62 70 | 0.62 72 | 0.62 71 |
|
| CDS-MVSNet | | | 0.88 67 | 0.88 68 | 0.88 72 | 0.88 79 | 0.88 79 | 0.88 79 | 0.88 80 | 0.88 79 | 0.88 78 | 0.88 76 | 0.88 78 | 0.88 79 | 0.88 77 | 0.88 77 | 0.88 77 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 67 | 0.88 68 | 0.88 72 | 0.88 79 | 0.88 79 | 0.88 79 | 0.88 80 | 0.88 79 | 0.88 78 | 0.88 76 | 0.88 78 | 0.88 79 | 0.88 77 | 0.88 77 | 0.88 77 |
|
| LCM-MVSNet-Re | | | 0.89 69 | 0.89 70 | 0.89 74 | 0.89 81 | 0.89 81 | 0.89 81 | 0.89 82 | 0.89 81 | 0.89 80 | 0.89 78 | 0.89 80 | 0.89 81 | 0.89 79 | 0.89 79 | 0.89 79 |
|
| DeepMVS_CX |  | | | | 1.00 75 | 1.00 82 | 1.00 82 | | 1.00 83 | 1.00 82 | 1.00 81 | 1.00 79 | 1.00 81 | 1.00 82 | 1.00 80 | 1.00 80 | 1.00 80 |
|
| MDA-MVSNet-bldmvs | | | 1.20 70 | 1.20 71 | 1.20 76 | 1.20 83 | 1.20 84 | 1.20 82 | 1.20 85 | 1.20 83 | 1.20 82 | 1.20 80 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 81 | 1.20 81 |
|
| YYNet1 | | | 1.20 70 | 1.20 71 | 1.20 76 | 1.20 83 | 1.20 84 | 1.20 82 | 1.20 85 | 1.20 83 | 1.20 82 | 1.20 80 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 81 | 1.20 81 |
|
| MDA-MVSNet_test_wron | | | 1.20 70 | 1.20 71 | 1.20 76 | 1.20 83 | 1.20 84 | 1.20 82 | 1.20 85 | 1.20 83 | 1.20 82 | 1.20 80 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 81 | 1.20 81 |
|
| KD-MVS_2432*1600 | | | 1.30 73 | 1.30 74 | 1.30 79 | 1.30 86 | 1.30 87 | 1.30 85 | 1.30 88 | 1.30 86 | 1.30 85 | 1.30 83 | 1.30 85 | 1.30 86 | 1.30 84 | 1.30 84 | 1.30 84 |
|
| miper_refine_blended | | | 1.30 73 | 1.30 74 | 1.30 79 | 1.30 86 | 1.30 87 | 1.30 85 | 1.30 88 | 1.30 86 | 1.30 85 | 1.30 83 | 1.30 85 | 1.30 86 | 1.30 84 | 1.30 84 | 1.30 84 |
|
| EI-MVSNet-UG-set | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| EI-MVSNet-Vis-set | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| EI-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| Regformer | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| CVMVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| EU-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| PS-CasMVS | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| PEN-MVS | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| TransMVSNet (Re) | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| DTE-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| DU-MVS | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| UniMVSNet (Re) | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| CP-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| WR-MVS_H | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| WR-MVS | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| NR-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| Baseline_NR-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| MVSFormer | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| jason | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
| jason: jason. |
| lupinMVS | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| test_djsdf | | | 1.42 75 | 1.42 76 | 1.42 81 | 1.42 88 | 1.42 89 | 1.42 87 | 1.42 90 | 1.42 88 | 1.42 87 | 1.42 85 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 86 | 1.42 86 |
|
| reproduce_monomvs | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| mmtdpeth | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| reproduce_model | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| reproduce-ours | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| our_new_method | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| mmdepth | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| monomultidepth | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| mvs5depth | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| MVStest1 | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| ttmdpeth | | | 1.48 98 | 1.48 99 | 1.48 104 | 1.48 112 | 1.48 112 | 1.48 110 | 1.48 115 | 1.48 111 | 1.48 110 | 1.48 108 | 1.48 110 | 1.48 111 | 1.48 109 | 1.48 109 | 1.48 109 |
|
| alignmvs | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| nrg030 | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| LFMVS | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| VDD-MVS | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| VDDNet | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| VPNet | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| VNet | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| VPA-MVSNet | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| cascas | | | 2.00 108 | 2.00 109 | 2.00 114 | 2.00 122 | 2.00 122 | 2.00 120 | 2.00 125 | 2.00 121 | 2.00 120 | 2.00 118 | 2.00 120 | 2.00 121 | 2.00 119 | 2.00 119 | 2.00 119 |
|
| UnsupCasMVSNet_eth | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| UnsupCasMVSNet_bld | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| WTY-MVS | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| HY-MVS | | 5.90 1 | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| sss | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| Test_1112_low_res | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| 1112_ss | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| ab-mvs-re | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| ab-mvs | | | 5.90 117 | 5.90 118 | 5.90 123 | 5.90 131 | 5.90 131 | 5.90 130 | 5.90 137 | 5.90 131 | 5.90 129 | 5.90 127 | 5.90 131 | 5.90 130 | 5.90 128 | 5.90 131 | 5.90 131 |
|
| CDPH-MVS | | | 6.66 126 | 6.66 127 | 6.66 132 | 6.66 140 | 6.66 140 | 6.66 139 | 6.66 146 | 6.66 140 | 6.66 138 | 6.66 136 | 6.66 140 | 6.66 139 | 6.66 137 | 6.66 140 | 6.66 140 |
|
| dp | | | 87.20 146 | 113.80 150 | 7.42 133 | 10.50 152 | 8.88 141 | 298.82 167 | 2.70 134 | 510.35 186 | 7.79 139 | 172.93 160 | 3.37 129 | 9.16 140 | 14.00 151 | 3.71 129 | 4.23 129 |
|
| MDTV_nov1_ep13 | | | | 9.99 128 | | 9.99 141 | 9.99 142 | 9.99 140 | 9.99 148 | 9.99 141 | 9.99 140 | 9.99 137 | 9.99 142 | 9.99 141 | 9.99 138 | 9.99 142 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| xiu_mvs_v2_base | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| xiu_mvs_v1_base | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| xiu_mvs_v1_base_debi | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| cdsmvs_eth3d_5k | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| pcd_1.5k_mvsjas | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| PS-MVSNAJss | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| PS-MVSNAJ | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| jajsoiax | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| mvs_tets | | | 10.28 127 | 10.28 129 | 10.28 134 | 10.28 142 | 10.28 144 | 10.28 142 | 10.28 149 | 10.28 143 | 10.28 142 | 10.28 138 | 10.28 144 | 10.28 142 | 10.28 140 | 10.28 143 | 10.28 142 |
|
| SR-MVS-dyc-post | | | 11.55 137 | 11.55 139 | 11.55 146 | 11.55 153 | 11.55 155 | 11.55 152 | 11.55 161 | 11.55 153 | 11.55 153 | 11.55 148 | 11.55 155 | 11.55 152 | 11.55 150 | 11.55 153 | 11.55 152 |
|
| test_method | | | 18.29 139 | 20.89 141 | 10.50 144 | 15.00 154 | 13.00 156 | 55.00 159 | 3.00 135 | 34.00 156 | 11.50 152 | 32.50 150 | 5.00 130 | 13.50 153 | 27.00 154 | 5.00 130 | 5.00 130 |
|
| XXY-MVS | | | 15.00 138 | 15.00 140 | 15.00 147 | 15.00 154 | 15.00 157 | 15.00 153 | 15.00 163 | 15.00 154 | 15.00 155 | 15.00 149 | 15.00 159 | 15.00 154 | 15.00 152 | 15.00 155 | 15.00 154 |
|
| GeoE | | | 19.41 140 | 22.09 142 | 11.37 145 | 17.21 156 | 11.30 154 | 50.50 158 | 4.30 136 | 33.60 155 | 11.70 154 | 44.50 155 | 7.30 141 | 18.90 155 | 22.60 153 | 7.10 141 | 3.90 128 |
|
| GBi-Net | | | 44.67 145 | 49.24 147 | 30.96 148 | 47.53 161 | 47.57 162 | 126.09 160 | 8.00 147 | 76.99 161 | 26.09 156 | 73.50 157 | 11.27 154 | 30.55 156 | 61.12 159 | 12.58 154 | 14.75 153 |
|
| BH-w/o | | | 40.00 141 | 40.00 143 | 40.00 149 | 40.00 157 | 40.00 158 | 40.00 154 | 40.00 182 | 40.00 157 | 40.00 157 | 40.00 151 | 40.00 176 | 40.00 157 | 40.00 155 | 40.00 169 | 40.00 165 |
|
| BH-untuned | | | 40.00 141 | 40.00 143 | 40.00 149 | 40.00 157 | 40.00 158 | 40.00 154 | 40.00 182 | 40.00 157 | 40.00 157 | 40.00 151 | 40.00 176 | 40.00 157 | 40.00 155 | 40.00 169 | 40.00 165 |
|
| BH-RMVSNet | | | 40.00 141 | 40.00 143 | 40.00 149 | 40.00 157 | 40.00 158 | 40.00 154 | 40.00 182 | 40.00 157 | 40.00 157 | 40.00 151 | 40.00 176 | 40.00 157 | 40.00 155 | 40.00 169 | 40.00 165 |
|
| TR-MVS | | | 40.00 141 | 40.00 143 | 40.00 149 | 40.00 157 | 40.00 158 | 40.00 154 | 40.00 182 | 40.00 157 | 40.00 157 | 40.00 151 | 40.00 176 | 40.00 157 | 40.00 155 | 40.00 169 | 40.00 165 |
|
| new_pmnet | | | 88.14 147 | 98.62 148 | 56.70 153 | 98.14 168 | 56.07 163 | 246.79 162 | 15.37 164 | 148.06 162 | 50.77 161 | 143.13 158 | 23.35 160 | 62.65 161 | 93.26 160 | 68.71 179 | 51.38 175 |
|
| N_pmnet | | | 88.14 147 | 98.62 148 | 56.70 153 | 98.14 168 | 56.07 163 | 246.79 162 | 15.37 164 | 148.06 162 | 50.77 161 | 143.13 158 | 23.35 160 | 62.65 161 | 93.26 160 | 68.71 179 | 51.38 175 |
|
| FMVSNet5 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| test1 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| FMVSNet3 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| FMVSNet2 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| FMVSNet1 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| MIMVSNet1 | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| MIMVSNet | | | 124.76 153 | 140.93 155 | 76.26 161 | 107.44 171 | 100.17 175 | 329.88 171 | 27.12 173 | 259.44 173 | 74.30 169 | 204.34 164 | 30.74 165 | 92.41 163 | 196.98 167 | 38.15 162 | 36.19 156 |
|
| CANet | | | 110.62 149 | 124.04 151 | 70.34 156 | 82.03 165 | 74.27 168 | 325.54 168 | 25.25 167 | 207.16 164 | 69.28 166 | 194.38 161 | 27.53 162 | 95.79 170 | 147.76 164 | 37.43 159 | 40.97 169 |
|
| CANet_DTU | | | 110.62 149 | 124.04 151 | 70.34 156 | 82.03 165 | 74.27 168 | 325.54 168 | 25.25 167 | 207.16 164 | 69.28 166 | 194.38 161 | 27.53 162 | 95.79 170 | 147.76 164 | 37.43 159 | 40.97 169 |
|
| UGNet | | | 110.62 149 | 124.04 151 | 70.34 156 | 82.03 165 | 74.27 168 | 325.54 168 | 25.25 167 | 207.16 164 | 69.28 166 | 194.38 161 | 27.53 162 | 95.79 170 | 147.76 164 | 37.43 159 | 40.97 169 |
| 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 |
| PVSNet_Blended_VisFu | | | 136.90 161 | 155.40 163 | 81.40 168 | 111.00 178 | 96.20 172 | 407.00 178 | 25.90 170 | 251.60 170 | 85.10 176 | 240.50 172 | 37.00 172 | 99.90 173 | 199.80 174 | 40.70 173 | 48.10 172 |
|
| PVSNet_BlendedMVS | | | 136.90 161 | 155.40 163 | 81.40 168 | 111.00 178 | 96.20 172 | 407.00 178 | 25.90 170 | 251.60 170 | 85.10 176 | 240.50 172 | 37.00 172 | 99.90 173 | 199.80 174 | 40.70 173 | 48.10 172 |
|
| PVSNet_Blended | | | 136.90 161 | 155.40 163 | 81.40 168 | 111.00 178 | 96.20 172 | 407.00 178 | 25.90 170 | 251.60 170 | 85.10 176 | 240.50 172 | 37.00 172 | 99.90 173 | 199.80 174 | 40.70 173 | 48.10 172 |
|
| MTAPA | | | 833442.10 297 | 1111233.77 303 | 67.09 155 | 65.59 162 | 64.81 165 | 284.50 164 | 10000000.00 335 | 219.97 167 | 59.62 163 | 229.89 171 | 12.72 156 | 103.00 176 | 203.67 177 | 27.93 156 | 33.46 155 |
|
| DSMNet-mixed | | | 131.33 160 | 143.00 162 | 96.33 171 | 99.00 170 | 81.00 171 | 201.00 161 | 45.00 187 | 335.00 180 | 99.00 179 | 251.00 175 | 38.00 175 | 110.00 177 | 120.00 163 | 99.00 185 | 98.00 181 |
|
| MP-MVS-pluss | | | 833433.63 296 | 1111219.60 302 | 75.70 159 | 74.28 163 | 73.29 166 | 284.50 164 | 11.35 159 | 238.58 168 | 65.86 164 | 255.35 176 | 14.55 157 | 115.69 178 | 10000000.00 329 | 31.94 157 | 38.12 163 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 152 | 133.18 154 | 75.70 159 | 74.28 163 | 73.29 166 | 284.50 164 | 11.35 159 | 238.58 168 | 65.86 164 | 255.35 176 | 14.55 157 | 115.69 178 | 222.18 178 | 31.94 157 | 38.12 163 |
|
| BP-MVS1 | | | 202.65 164 | 232.15 166 | 114.16 172 | 183.40 182 | 141.78 182 | 655.87 186 | 24.69 166 | 372.56 181 | 109.76 180 | 356.89 178 | 47.15 180 | 139.51 180 | 284.15 180 | 54.86 176 | 61.20 177 |
|
| FE-MVS | | | 207.10 165 | 234.26 167 | 125.61 173 | 180.34 181 | 153.23 183 | 635.64 185 | 30.05 180 | 378.38 182 | 127.68 181 | 377.08 179 | 48.95 181 | 154.43 181 | 266.67 179 | 63.56 177 | 69.18 178 |
|
| GDP-MVS | | | 219.79 166 | 249.11 168 | 131.85 174 | 187.15 183 | 155.97 184 | 667.31 187 | 30.57 181 | 398.95 183 | 131.26 182 | 387.86 180 | 58.83 183 | 164.55 182 | 315.00 181 | 65.03 178 | 75.04 179 |
|
| tmp_tt | | | 371.08 177 | 412.78 178 | 246.00 188 | 231.00 185 | 197.00 188 | 1293.00 221 | 376.00 260 | 756.00 207 | 609.00 238 | 71.00 156 | 106.00 199 | 195.00 183 | 102.00 162 | 171.00 209 | 346.00 234 |
|
| FA-MVS(test-final) | | | 261.15 167 | 293.29 169 | 164.72 175 | 236.23 186 | 199.99 189 | 800.05 193 | 42.35 186 | 475.87 185 | 155.47 183 | 470.67 182 | 58.49 182 | 205.24 184 | 319.44 182 | 81.03 182 | 88.93 180 |
|
| kuosan | | | 267.89 169 | 301.05 171 | 168.41 176 | 244.05 187 | 177.28 185 | 667.98 188 | 65.76 189 | 533.41 187 | 157.79 184 | 492.01 183 | 104.69 198 | 226.72 185 | 364.47 185 | 79.31 181 | 101.21 183 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 241 | 1886.82 245 | 481.89 219 | 847.73 248 | 830.16 253 | 7943.84 278 | 189.23 245 | 2398.83 258 | 691.73 245 | 2341.13 255 | 209.16 239 | 230.25 186 | 1999.25 261 | 360.46 241 | 385.25 239 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DP-MVS | | | 264.78 168 | 296.02 170 | 171.04 177 | 191.70 184 | 183.96 186 | 827.10 194 | 78.36 198 | 438.24 184 | 176.64 185 | 435.12 181 | 65.04 185 | 230.52 187 | 334.02 183 | 117.96 193 | 98.64 182 |
|
| SSC-MVS | | | 320.23 171 | 364.09 173 | 188.66 178 | 260.78 189 | 193.84 187 | 975.93 202 | 73.11 194 | 596.72 192 | 185.29 186 | 589.02 189 | 74.47 187 | 246.01 188 | 427.42 189 | 94.06 184 | 126.12 186 |
|
| WB-MVS | | | 316.44 170 | 357.41 172 | 193.51 179 | 257.06 188 | 213.32 192 | 914.45 196 | 49.03 188 | 600.77 193 | 186.42 187 | 634.00 195 | 75.03 188 | 251.35 189 | 411.39 186 | 88.55 183 | 115.87 185 |
|
| UWE-MVS-28 | | | 327.73 172 | 369.67 174 | 201.90 180 | 281.09 195 | 210.75 190 | 832.98 195 | 74.67 197 | 680.98 200 | 198.23 188 | 613.42 192 | 112.56 201 | 259.80 190 | 418.76 187 | 114.35 187 | 135.15 192 |
|
| testing11 | | | 348.86 174 | 393.09 176 | 216.15 181 | 275.24 192 | 239.53 193 | 915.55 197 | 72.35 191 | 679.89 199 | 215.75 191 | 633.79 194 | 118.08 203 | 276.62 191 | 509.56 200 | 117.61 192 | 132.30 188 |
|
| testing91 | | | 347.05 173 | 389.92 175 | 218.43 182 | 275.92 193 | 241.43 194 | 923.71 198 | 71.70 190 | 667.65 198 | 217.04 192 | 629.00 193 | 113.33 202 | 281.39 192 | 495.50 192 | 115.45 189 | 132.47 189 |
|
| UWE-MVS | | | 387.98 178 | 438.66 181 | 235.93 183 | 349.32 202 | 257.61 198 | 1081.50 210 | 82.45 202 | 637.74 197 | 257.12 196 | 738.54 200 | 134.25 207 | 308.00 193 | 531.93 202 | 135.11 196 | 142.17 194 |
|
| WB-MVSnew | | | 404.84 181 | 458.00 183 | 245.36 187 | 374.70 205 | 320.27 207 | 1193.74 217 | 72.90 193 | 773.77 208 | 238.30 193 | 688.22 197 | 90.05 191 | 308.59 194 | 532.76 203 | 157.54 203 | 107.21 184 |
|
| dongtai | | | 360.45 175 | 401.64 177 | 236.89 185 | 303.10 196 | 262.16 200 | 963.12 199 | 72.78 192 | 622.82 196 | 199.37 189 | 708.06 198 | 130.96 206 | 310.90 195 | 506.46 199 | 108.11 186 | 137.60 193 |
|
| myMVS_eth3d28 | | | 418.40 184 | 473.07 186 | 254.39 191 | 261.18 190 | 313.04 204 | 1172.79 216 | 74.16 196 | 929.18 216 | 264.68 198 | 745.72 201 | 139.03 211 | 318.91 196 | 549.18 205 | 121.71 194 | 131.21 187 |
|
| RPSCF | | | 394.81 180 | 445.63 182 | 242.35 186 | 276.55 194 | 253.63 196 | 1207.27 218 | 90.69 206 | 715.56 201 | 241.57 195 | 684.87 196 | 111.96 200 | 320.02 197 | 548.38 204 | 133.81 195 | 153.39 198 |
|
| testing99 | | | 408.82 182 | 462.15 184 | 248.86 189 | 322.45 199 | 269.42 201 | 1118.93 213 | 73.26 195 | 719.36 203 | 262.28 197 | 772.10 202 | 150.98 213 | 327.08 198 | 601.98 208 | 137.99 197 | 150.07 196 |
|
| testing222 | | | 430.52 185 | 487.50 189 | 259.56 192 | 379.87 209 | 282.69 202 | 1138.34 214 | 81.30 200 | 880.86 212 | 281.58 202 | 834.27 213 | 135.83 209 | 333.22 199 | 514.90 201 | 140.56 198 | 162.76 199 |
|
| ETVMVS | | | 443.50 189 | 498.07 191 | 279.78 195 | 378.05 208 | 321.57 208 | 1163.68 215 | 87.12 203 | 897.50 215 | 269.81 201 | 822.83 212 | 141.20 212 | 334.53 200 | 568.21 207 | 154.21 199 | 183.26 206 |
|
| testing3 | | | 418.10 183 | 469.06 185 | 265.23 193 | 335.69 200 | 290.63 203 | 1240.88 219 | 93.72 207 | 717.99 202 | 215.31 190 | 811.97 211 | 232.41 243 | 358.74 201 | 458.67 190 | 114.88 188 | 146.32 195 |
|
| Syy-MVS | | | 370.76 176 | 415.60 179 | 236.25 184 | 310.54 197 | 210.76 191 | 965.13 200 | 98.58 212 | 746.06 205 | 266.26 199 | 788.85 205 | 91.37 192 | 364.76 202 | 357.17 184 | 116.42 190 | 133.22 190 |
|
| myMVS_eth3d | | | 390.90 179 | 437.44 180 | 251.28 190 | 310.54 197 | 255.86 197 | 965.13 200 | 98.58 212 | 746.06 205 | 266.26 199 | 788.85 205 | 154.95 214 | 364.76 202 | 490.19 191 | 116.42 190 | 133.22 190 |
|
| DELS-MVS | | | 514.57 194 | 587.73 197 | 295.12 198 | 343.03 201 | 328.09 210 | 1540.48 226 | 116.22 220 | 988.59 217 | 325.44 211 | 906.22 215 | 119.86 205 | 365.72 204 | 788.60 222 | 161.09 206 | 191.55 209 |
| 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 |
| tpmvs | | | 501.65 193 | 567.42 195 | 304.33 199 | 395.39 212 | 356.32 212 | 1512.04 225 | 216.53 247 | 994.15 218 | 350.16 213 | 804.16 210 | 119.38 204 | 380.98 205 | 555.14 206 | 159.87 205 | 175.69 203 |
|
| EG-PatchMatch MVS | | | 437.03 186 | 493.12 190 | 268.77 194 | 264.80 191 | 260.20 199 | 1491.80 224 | 98.00 211 | 723.20 204 | 238.80 194 | 722.40 199 | 63.10 184 | 382.00 206 | 629.00 212 | 207.00 217 | 164.10 202 |
|
| DP-MVS Recon | | | 516.25 195 | 581.17 196 | 321.48 203 | 361.02 203 | 429.00 219 | 1995.36 231 | 78.48 199 | 796.20 209 | 283.32 205 | 796.02 207 | 96.78 193 | 382.98 207 | 636.72 214 | 186.66 214 | 152.46 197 |
|
| MVP-Stereo | | | 473.58 190 | 533.67 192 | 293.33 196 | 376.00 206 | 318.00 205 | 1461.00 222 | 96.00 208 | 835.00 210 | 290.00 206 | 804.00 208 | 97.00 194 | 383.00 208 | 688.00 219 | 156.00 200 | 179.00 204 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 190 | 533.67 192 | 293.33 196 | 376.00 206 | 318.00 205 | 1461.00 222 | 96.00 208 | 835.00 210 | 290.00 206 | 804.00 208 | 97.00 194 | 383.00 208 | 688.00 219 | 156.00 200 | 179.00 204 |
|
| WBMVS | | | 655.88 201 | 770.84 206 | 310.98 201 | 391.79 211 | 353.00 211 | 2280.68 233 | 99.17 215 | 1776.79 248 | 301.20 208 | 1123.23 230 | 187.34 229 | 390.28 210 | 620.39 211 | 156.98 202 | 189.66 208 |
|
| PatchmatchNet |  | | 492.52 192 | 551.22 194 | 316.40 202 | 400.20 213 | 357.90 213 | 1277.10 220 | 115.80 219 | 1034.60 225 | 315.90 209 | 874.00 214 | 155.10 215 | 402.20 211 | 629.50 213 | 158.80 204 | 189.10 207 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| UBG | | | 667.82 203 | 787.71 207 | 308.16 200 | 385.94 210 | 327.65 209 | 1718.51 227 | 117.00 221 | 1942.46 253 | 317.12 210 | 1488.73 244 | 183.89 221 | 404.82 212 | 763.70 221 | 172.02 210 | 192.01 210 |
|
| ADS-MVSNet2 | | | 443.33 187 | 482.84 187 | 324.79 204 | 434.94 217 | 387.73 215 | 1110.57 211 | 87.69 204 | 887.02 213 | 282.92 203 | 779.29 203 | 98.57 196 | 422.76 213 | 502.40 193 | 162.19 207 | 163.87 200 |
|
| ADS-MVSNet | | | 443.33 187 | 482.84 187 | 324.79 204 | 434.94 217 | 387.73 215 | 1110.57 211 | 87.69 204 | 887.02 213 | 282.92 203 | 779.29 203 | 98.57 196 | 422.76 213 | 502.40 193 | 162.19 207 | 163.87 200 |
|
| IB-MVS | | 872.44 4 | 616.41 200 | 700.96 203 | 362.78 206 | 426.10 216 | 409.25 217 | 1822.69 228 | 124.42 230 | 1186.23 228 | 366.85 215 | 1079.42 227 | 190.60 231 | 451.78 215 | 930.72 227 | 181.59 212 | 227.30 213 |
| 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 |
| IterMVS | | | 615.05 199 | 691.66 202 | 385.23 208 | 516.40 220 | 454.80 220 | 1863.80 229 | 102.10 216 | 1142.20 227 | 364.10 214 | 1093.20 229 | 135.00 208 | 480.40 216 | 826.90 223 | 181.20 211 | 220.50 212 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| GG-mvs-BLEND | | | | | 596.01 228 | 611.29 229 | 600.33 237 | 790.30 190 | 513.12 283 | | 552.71 232 | 567.40 184 | 662.54 287 | 531.67 217 | 503.93 195 | 779.80 265 | 656.02 249 |
|
| gm-plane-assit | | | | | | 611.29 229 | 600.33 237 | | | 579.21 188 | | 567.40 184 | | 531.67 217 | 503.93 195 | | |
|
| gg-mvs-nofinetune | | | 594.69 196 | 605.37 198 | 562.67 225 | 617.29 233 | 500.33 223 | 772.30 189 | 413.12 268 | 579.21 188 | 552.71 232 | 567.40 184 | 662.54 287 | 531.67 217 | 503.93 195 | 779.80 265 | 656.02 249 |
|
| CR-MVSNet | | | 612.36 198 | 617.81 201 | 596.01 228 | 611.29 229 | 600.33 237 | 790.30 190 | 513.12 283 | 579.21 188 | 552.71 232 | 567.40 184 | 662.54 287 | 531.67 217 | 503.93 195 | 779.80 265 | 656.02 249 |
|
| CSCG | | | 826.03 217 | 963.29 222 | 414.24 209 | 421.52 215 | 426.11 218 | 2230.35 232 | 179.52 243 | 1827.44 249 | 733.43 249 | 933.12 217 | 281.25 245 | 545.23 221 | 1800.35 257 | 262.64 231 | 271.38 222 |
|
| Gipuma | | | 689.75 204 | 767.00 205 | 458.00 217 | 613.00 232 | 549.00 235 | 1943.00 230 | 187.00 244 | 1230.00 229 | 518.00 229 | 1092.00 228 | 203.00 237 | 564.00 222 | 892.00 226 | 225.00 227 | 261.00 221 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| mvs_anonymous | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
|
| casdiffmvs | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| diffmvs | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline2 | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
|
| baseline1 | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
|
| casdiffmvs_mvg | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline | | | 774.90 208 | 882.28 214 | 452.77 210 | 636.50 234 | 537.20 226 | 2348.80 236 | 120.30 222 | 1504.30 236 | 474.40 220 | 1371.10 236 | 186.90 222 | 564.70 223 | 1078.90 240 | 219.30 220 | 256.40 214 |
|
| ACMH+ | | 729.97 2 | 661.38 202 | 754.00 204 | 383.51 207 | 368.96 204 | 376.38 214 | 2483.74 245 | 82.42 201 | 1089.25 226 | 333.39 212 | 1219.68 231 | 66.53 186 | 573.60 230 | 957.86 228 | 184.14 213 | 200.56 211 |
|
| IterMVS-LS | | | 758.94 205 | 856.56 210 | 466.10 218 | 606.60 225 | 546.80 233 | 2309.90 234 | 122.20 229 | 1402.80 233 | 463.50 219 | 1348.20 233 | 192.60 232 | 574.60 231 | 1028.60 238 | 234.60 229 | 276.90 223 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| K. test v3 | | | 877.74 220 | 980.16 223 | 570.46 227 | 1316.85 266 | 813.15 252 | 2565.52 247 | 103.78 217 | 1509.49 243 | 548.33 231 | 1258.90 232 | 219.93 242 | 587.82 232 | 1102.37 247 | 196.30 215 | 310.42 229 |
|
| SR-MVS | | | 610.10 197 | 610.10 199 | 610.10 230 | 610.10 227 | 610.10 240 | 610.10 183 | 610.10 292 | 610.10 194 | 610.10 239 | 610.10 190 | 610.10 275 | 610.10 233 | 610.10 209 | 610.10 248 | 610.10 246 |
|
| RPMNet | | | 787.26 215 | 829.13 208 | 661.63 234 | 885.90 249 | 895.90 257 | 455.98 181 | 610.10 292 | 1297.17 230 | 1002.26 261 | 1001.67 225 | 655.98 285 | 611.10 234 | 667.90 216 | 885.21 277 | 477.90 243 |
|
| new-patchmatchnet | | | 766.12 206 | 859.03 211 | 487.38 221 | 595.68 222 | 536.14 225 | 2346.27 235 | 142.51 235 | 1488.08 235 | 422.43 216 | 1361.32 235 | 163.65 218 | 628.60 235 | 1003.74 237 | 207.61 218 | 297.41 227 |
|
| SixPastTwentyTwo | | | 773.62 207 | 869.37 213 | 486.35 220 | 603.45 224 | 547.15 234 | 2532.14 246 | 106.92 218 | 1434.95 234 | 428.08 217 | 1360.56 234 | 165.15 219 | 628.96 236 | 984.09 229 | 209.01 219 | 282.94 224 |
|
| PVSNet | | 1207.94 6 | 829.56 218 | 937.18 221 | 506.69 222 | 645.55 241 | 585.72 236 | 2477.98 244 | 130.52 231 | 1578.29 244 | 509.50 228 | 1460.01 243 | 194.90 233 | 637.19 237 | 1170.78 248 | 267.07 233 | 297.17 226 |
|
| MVSTER | | | 890.06 221 | 1005.91 230 | 542.52 223 | 736.13 246 | 653.90 244 | 2616.56 248 | 145.22 237 | 1692.10 247 | 555.69 235 | 1554.72 246 | 266.25 244 | 660.02 238 | 1219.66 249 | 266.84 232 | 313.64 230 |
|
| lessismore_v0 | | | | | 569.20 226 | 667.25 243 | 644.68 243 | | 96.45 210 | | 428.86 218 | 1514.17 245 | 204.21 238 | 756.58 239 | 1061.60 239 | 197.79 216 | 306.34 228 |
|
| JIA-IIPM | | | 804.30 216 | 835.64 209 | 710.26 239 | 885.90 249 | 895.90 257 | 455.98 181 | 668.73 297 | 1297.17 230 | 1002.26 261 | 1001.67 225 | 655.98 285 | 756.98 240 | 667.90 216 | 885.21 277 | 477.90 243 |
|
| test_0402 | | | 1110.00 233 | 1260.00 236 | 660.00 233 | 900.00 252 | 780.00 251 | 3300.00 250 | 210.00 246 | 2040.00 254 | 690.00 244 | 1950.00 251 | 300.00 248 | 810.00 241 | 1620.00 254 | 330.00 240 | 390.00 240 |
|
| ACMH | | 993.80 5 | 967.92 223 | 1106.11 233 | 553.33 224 | 494.00 219 | 534.00 224 | 3581.00 251 | 136.00 232 | 1585.00 245 | 478.00 227 | 1871.00 250 | 90.00 189 | 839.00 242 | 1460.00 251 | 260.00 230 | 287.00 225 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 239 | 1622.84 243 | 678.81 238 | 952.13 253 | 840.17 254 | 5358.21 262 | 170.75 242 | 2650.47 261 | 713.54 247 | 2394.28 258 | 209.42 240 | 855.56 243 | 1854.36 258 | 302.42 237 | 340.71 233 |
|
| MVS_111021_LR | | | 1136.45 234 | 1298.72 237 | 649.64 232 | 756.17 247 | 726.26 248 | 3785.94 252 | 138.15 234 | 2190.64 256 | 629.63 242 | 2064.39 253 | 165.45 220 | 874.83 244 | 1678.43 256 | 279.70 234 | 347.82 235 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 224 | 1066.82 232 | 673.70 237 | 706.94 244 | 695.69 245 | 2669.02 249 | 153.52 239 | 2108.17 255 | 605.54 237 | 1679.14 247 | 213.26 241 | 886.75 245 | 1236.76 250 | 229.01 228 | 438.67 242 |
|
| ACMP | | 1246.57 7 | 1086.24 231 | 1235.17 235 | 639.45 231 | 596.53 223 | 639.91 242 | 3904.24 254 | 152.04 238 | 1851.54 250 | 566.58 236 | 1997.95 252 | 138.50 210 | 938.30 246 | 1605.46 253 | 303.70 239 | 340.14 232 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| ACMM | | 1311.08 8 | 1165.06 235 | 1332.72 238 | 662.07 235 | 584.90 221 | 715.99 247 | 4373.59 258 | 153.99 240 | 1880.27 251 | 709.02 246 | 2316.97 254 | 188.63 230 | 939.89 247 | 1484.30 252 | 302.78 238 | 330.34 231 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| Patchmtry | | | 1090.75 232 | 1198.88 234 | 766.38 243 | 1290.90 264 | 485.90 221 | 2423.98 243 | 1267.30 315 | 1297.17 230 | 923.90 251 | 923.40 216 | 1215.54 308 | 990.23 248 | 667.90 216 | 779.80 265 | 823.02 263 |
|
| PatchT | | | 856.34 219 | 860.99 212 | 842.38 244 | 1290.90 264 | 880.90 255 | 790.30 190 | 1267.30 315 | 579.21 188 | 923.90 251 | 567.40 184 | 662.54 287 | 990.23 248 | 887.56 225 | 779.80 265 | 656.02 249 |
|
| ambc | | | | | 999.00 245 | 999.00 254 | 999.00 259 | 999.00 203 | 999.00 308 | | 999.00 254 | 999.00 218 | 999.00 300 | 999.00 250 | 999.00 230 | 999.00 284 | 999.00 281 |
|
| OurMVSNet-221017-0 | | | 999.00 225 | 999.00 224 | 999.00 245 | 999.00 254 | 999.00 259 | 999.00 203 | 999.00 308 | 999.00 219 | 999.00 254 | 999.00 218 | 999.00 300 | 999.00 250 | 999.00 230 | 999.00 284 | 999.00 281 |
|
| EPMVS | | | 999.00 225 | 999.00 224 | 999.00 245 | 999.00 254 | 999.00 259 | 999.00 203 | 999.00 308 | 999.00 219 | 999.00 254 | 999.00 218 | 999.00 300 | 999.00 250 | 999.00 230 | 999.00 284 | 999.00 281 |
|
| uanet_test | | | 1000.00 227 | 1000.00 226 | 1000.00 248 | 1000.00 257 | 1000.00 262 | 1000.00 206 | 1000.00 311 | 1000.00 221 | 1000.00 257 | 1000.00 221 | 1000.00 303 | 1000.00 253 | 1000.00 233 | 1000.00 287 | 1000.00 284 |
|
| sosnet | | | 1000.00 227 | 1000.00 226 | 1000.00 248 | 1000.00 257 | 1000.00 262 | 1000.00 206 | 1000.00 311 | 1000.00 221 | 1000.00 257 | 1000.00 221 | 1000.00 303 | 1000.00 253 | 1000.00 233 | 1000.00 287 | 1000.00 284 |
|
| USDC | | | 1000.00 227 | 1000.00 226 | 1000.00 248 | 1000.00 257 | 1000.00 262 | 1000.00 206 | 1000.00 311 | 1000.00 221 | 1000.00 257 | 1000.00 221 | 1000.00 303 | 1000.00 253 | 1000.00 233 | 1000.00 287 | 1000.00 284 |
|
| TinyColmap | | | 1000.00 227 | 1000.00 226 | 1000.00 248 | 1000.00 257 | 1000.00 262 | 1000.00 206 | 1000.00 311 | 1000.00 221 | 1000.00 257 | 1000.00 221 | 1000.00 303 | 1000.00 253 | 1000.00 233 | 1000.00 287 | 1000.00 284 |
|
| MG-MVS | | | 1256.50 237 | 1432.00 240 | 730.00 240 | 610.00 226 | 760.00 249 | 4720.00 259 | 169.00 241 | 1920.00 252 | 723.00 248 | 2510.00 260 | 201.00 235 | 1050.00 257 | 1645.00 255 | 390.00 243 | 380.00 238 |
|
| ACMMPR | | | 1296.60 238 | 1480.82 241 | 743.96 242 | 899.25 251 | 763.47 250 | 4305.47 257 | 143.90 236 | 2530.94 260 | 683.99 243 | 2346.34 256 | 201.65 236 | 1098.25 258 | 1920.59 259 | 295.21 235 | 370.16 236 |
|
| PMVS | | 863.65 3 | 957.08 222 | 1054.11 231 | 666.00 236 | 401.00 214 | 495.00 222 | 3790.00 253 | 279.00 249 | 1607.00 246 | 521.00 230 | 1745.00 248 | 90.00 189 | 1105.00 259 | 639.00 215 | 415.00 244 | 398.00 241 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| MSLP-MVS++ | | | 1242.93 236 | 1411.08 239 | 738.48 241 | 712.71 245 | 712.68 246 | 4168.17 256 | 136.50 233 | 2276.40 257 | 613.28 241 | 2368.60 257 | 161.61 217 | 1130.38 260 | 1964.54 260 | 297.88 236 | 372.39 237 |
|
| ZD-MVS | | | | | | 1584.00 269 | 1821.00 292 | | 378.00 261 | 3721.00 267 | 1231.00 268 | 1833.00 249 | 321.00 251 | 1224.00 261 | 2103.00 262 | 692.00 258 | |
|
| MVS-HIRNet | | | 2125.39 246 | 2452.68 249 | 1143.53 254 | 2938.33 309 | 1446.92 271 | 6083.19 263 | 391.74 262 | 3801.71 268 | 1202.10 267 | 3439.72 263 | 492.73 266 | 1304.35 262 | 3048.25 270 | 676.32 253 | 679.32 254 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 242 | 1869.33 244 | 1025.33 252 | 1030.00 261 | 1023.00 266 | 5311.00 261 | 359.00 258 | 3044.00 262 | 937.00 253 | 2892.00 261 | 332.00 252 | 1440.00 263 | 2312.00 263 | 607.00 247 | 613.00 248 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| OpenMVS_ROB | | 1936.51 10 | 1959.51 244 | 2224.88 248 | 1163.39 255 | 1253.91 263 | 1434.22 270 | 7065.71 268 | 272.76 248 | 2472.29 259 | 1647.54 293 | 3538.72 265 | 200.37 234 | 1496.48 264 | 2575.17 266 | 997.45 283 | 559.48 245 |
|
| F-COLMAP | | | 1878.17 243 | 2113.11 246 | 1173.33 256 | 1231.00 262 | 1174.00 267 | 6297.00 264 | 392.00 263 | 3356.00 265 | 1087.00 263 | 3082.00 262 | 361.00 256 | 1670.00 265 | 2523.00 265 | 689.00 254 | 676.00 253 |
|
| FPMVS | | | 1407.00 240 | 1495.59 242 | 1141.23 253 | 648.01 242 | 893.85 256 | 4124.00 255 | 503.81 282 | 3219.04 263 | 742.72 250 | 2498.84 259 | 157.98 216 | 1727.83 266 | 832.93 224 | 732.98 264 | 802.00 258 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 249 | 2597.03 252 | 1297.84 257 | 1701.20 271 | 1332.37 268 | 8105.11 279 | 451.45 271 | 4031.84 270 | 1099.10 264 | 3966.50 269 | 467.45 264 | 1734.05 267 | 2701.68 268 | 848.94 274 | 827.11 264 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 250 | 2643.03 253 | 1434.14 259 | 2025.55 288 | 1629.36 279 | 6542.40 265 | 412.49 265 | 4219.70 272 | 1547.02 281 | 4328.52 271 | 650.74 282 | 1798.26 268 | 3333.17 272 | 727.72 261 | 874.79 268 |
|
| CHOSEN 1792x2688 | | | 2340.81 250 | 2643.03 253 | 1434.14 259 | 2025.55 288 | 1629.36 279 | 6542.40 265 | 412.49 265 | 4219.70 272 | 1547.02 281 | 4328.52 271 | 650.74 282 | 1798.26 268 | 3333.17 272 | 727.72 261 | 874.79 268 |
|
| HyFIR lowres test | | | 2340.81 250 | 2643.03 253 | 1434.14 259 | 2025.55 288 | 1629.36 279 | 6542.40 265 | 412.49 265 | 4219.70 272 | 1547.02 281 | 4328.52 271 | 650.74 282 | 1798.26 268 | 3333.17 272 | 727.72 261 | 874.79 268 |
|
| PLC | | 2858.82 16 | 2192.92 247 | 2474.00 250 | 1349.67 258 | 1407.00 267 | 1356.00 269 | 7164.00 269 | 475.00 275 | 3970.00 269 | 1237.00 270 | 3765.00 268 | 451.00 263 | 1891.00 271 | 3006.00 269 | 791.00 270 | 802.00 258 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| AdaColmap |  | | 2570.77 255 | 2948.61 258 | 1437.24 262 | 1873.64 281 | 1526.60 273 | 7819.77 276 | 373.97 259 | 4970.45 279 | 1479.29 278 | 4648.46 276 | 525.80 269 | 1904.97 272 | 4150.42 283 | 695.69 260 | 880.14 271 |
|
| OpenMVS | | 2352.88 13 | 2263.08 248 | 2530.89 251 | 1459.67 265 | 1767.00 279 | 1591.00 275 | 7932.00 277 | 399.00 264 | 3643.00 266 | 1176.00 266 | 3569.00 266 | 297.00 247 | 1927.00 273 | 3302.00 271 | 693.00 259 | 861.00 267 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 281 | 1363.85 273 | 4894.28 279 | 387.23 258 | 2023.43 274 | 3973.88 279 | 620.04 250 | 732.56 255 |
|
| test_0728_SECOND | | | | | 1451.45 263 | 1725.60 272 | 1598.35 276 | 9203.30 285 | 315.86 252 | | | | | 2023.43 274 | 3973.88 279 | 620.04 250 | 732.56 255 |
|
| SD-MVS | | | 2654.53 256 | 3055.56 261 | 1451.45 263 | 1725.60 272 | 1598.35 276 | 9203.30 285 | 315.86 252 | 5016.02 281 | 1363.85 273 | 4894.28 279 | 387.23 258 | 2023.43 274 | 3973.88 279 | 620.04 250 | 732.56 255 |
| 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 |
| CMPMVS | | 2623.62 15 | 1983.08 245 | 2156.14 247 | 1463.89 266 | 1414.80 268 | 1517.00 272 | 5239.20 260 | 867.40 302 | 3310.30 264 | 1128.70 265 | 3489.90 264 | 366.75 257 | 2030.20 277 | 2427.60 264 | 1160.60 296 | 844.46 266 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| 3Dnovator | | 2482.06 14 | 2531.17 253 | 2839.56 256 | 1606.00 267 | 1732.00 275 | 1557.00 274 | 8375.00 281 | 483.00 276 | 4370.00 275 | 1371.00 276 | 4200.00 270 | 350.00 254 | 2207.00 278 | 3877.00 278 | 798.00 271 | 1054.00 288 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 257 | 3021.57 259 | 1618.12 268 | 2377.67 295 | 1751.39 288 | 8915.70 284 | 567.44 290 | 4569.74 277 | 1236.84 269 | 4615.63 275 | 513.23 267 | 2291.32 279 | 3515.48 275 | 882.39 276 | 811.66 260 |
|
| LF4IMVS | | | 2699.50 258 | 3049.67 260 | 1649.00 269 | 1755.00 276 | 1689.00 283 | 8330.00 280 | 464.00 273 | 4997.00 280 | 1528.00 279 | 4763.00 278 | 568.00 273 | 2296.00 280 | 4215.00 284 | 827.00 273 | 962.00 278 |
|
| tpmrst | | | 2557.50 254 | 2847.12 257 | 1688.66 270 | 1784.08 280 | 1778.25 289 | 7445.50 275 | 342.14 255 | 4471.54 276 | 1534.55 280 | 4382.10 274 | 530.10 270 | 2361.21 281 | 4142.81 282 | 991.22 282 | 926.51 273 |
|
| GST-MVS | | | 4000.00 276 | 4533.33 277 | 2400.00 287 | 2400.00 296 | 2400.00 302 | 7200.00 270 | 2400.00 319 | 7200.00 305 | 2400.00 307 | 7200.00 295 | 2400.00 313 | 2400.00 282 | 7200.00 306 | 2400.00 310 | 2400.00 309 |
|
| DVP-MVS++ | | | 3981.10 274 | 4731.32 279 | 1730.42 272 | 2191.51 291 | 1949.98 294 | 16473.90 310 | 355.33 256 | 7172.90 303 | 1622.98 291 | 7879.79 301 | 434.33 261 | 2428.11 283 | 5762.12 293 | 689.04 255 | 813.18 261 |
|
| DVP-MVS | | | 3981.10 274 | 4731.32 279 | 1730.42 272 | 2191.51 291 | 1949.98 294 | 16473.90 310 | 355.33 256 | 7172.90 303 | 1622.98 291 | 7879.79 301 | 434.33 261 | 2428.11 283 | 5762.12 293 | 689.04 255 | 813.18 261 |
| 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 |
| DeepC-MVS | | 3917.13 19 | 3155.06 263 | 3601.83 266 | 1814.72 276 | 2515.52 298 | 1941.53 293 | 10432.50 299 | 589.42 291 | 4789.45 278 | 1298.65 272 | 7677.31 300 | 578.35 274 | 2589.53 285 | 3611.78 277 | 923.52 279 | 913.10 272 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| MVS_111021_HR | | | 3742.80 272 | 4330.34 275 | 1980.20 279 | 2484.31 297 | 2259.52 301 | 14973.80 308 | 515.90 289 | 6500.13 295 | 1949.21 298 | 6146.89 287 | 535.66 271 | 2593.66 286 | 4880.76 289 | 986.37 281 | 1087.43 289 |
|
| DPM-MVS | | | 3268.00 264 | 3762.89 267 | 1783.33 274 | 1756.00 277 | 1806.00 290 | 12319.00 301 | 307.00 250 | 6319.00 292 | 1557.00 284 | 5763.00 285 | 302.00 249 | 2609.00 287 | 5061.00 290 | 482.00 245 | 935.00 275 |
|
| OPM-MVS | | | 3268.00 264 | 3762.89 267 | 1783.33 274 | 1756.00 277 | 1806.00 290 | 12319.00 301 | 307.00 250 | 6319.00 292 | 1557.00 284 | 5763.00 285 | 302.00 249 | 2609.00 287 | 5061.00 290 | 482.00 245 | 935.00 275 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| 3Dnovator+ | | 3414.41 17 | 3146.67 262 | 3537.00 265 | 1975.67 278 | 2310.00 293 | 2005.00 297 | 10100.00 297 | 626.00 295 | 5753.00 285 | 1803.00 296 | 5179.00 284 | 487.00 265 | 2622.00 289 | 4550.00 287 | 1025.00 291 | 1300.00 295 |
|
| TSAR-MVS + MP. | | | 3528.01 267 | 4065.89 274 | 1914.35 277 | 2349.10 294 | 2141.30 299 | 12362.70 303 | 417.60 269 | 6717.80 298 | 1759.40 295 | 6497.50 288 | 518.18 268 | 2629.38 290 | 5164.32 292 | 806.40 272 | 972.38 280 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| SteuartSystems-ACMMP | | | 2891.50 261 | 3284.78 264 | 1711.67 271 | 1954.00 282 | 1655.00 282 | 10117.00 298 | 445.00 270 | 5102.00 284 | 1375.00 277 | 5126.00 283 | 351.00 255 | 2638.00 291 | 4402.00 286 | 691.00 257 | 842.00 265 |
| Skip Steuart: Steuart Systems R&D Blog. |
| TAPA-MVS | | 6309.84 21 | 3374.90 266 | 3806.99 269 | 2078.63 283 | 2535.47 299 | 2499.25 308 | 8816.16 283 | 456.05 272 | 6255.60 291 | 1664.52 294 | 6704.88 290 | 629.95 280 | 2768.38 292 | 6343.93 304 | 856.35 275 | 968.25 279 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| EGC-MVSNET | | | 2819.75 259 | 3096.89 262 | 1988.33 280 | 3105.00 310 | 2241.00 300 | 9480.00 289 | 640.00 296 | 4209.00 271 | 1583.00 286 | 4740.00 277 | 547.00 272 | 2797.00 293 | 2644.00 267 | 924.00 280 | 927.00 274 |
|
| ITE_SJBPF | | | | | 2014.00 282 | 1998.00 283 | 1992.00 296 | | 701.00 298 | 5989.00 286 | 1812.00 297 | 3612.00 267 | 650.00 281 | 2852.00 294 | 4601.00 288 | 1195.00 297 | 1198.00 294 |
|
| Vis-MVSNet | | | 2877.42 260 | 3170.00 263 | 1999.67 281 | 1673.00 270 | 2042.00 298 | 8593.00 282 | 474.00 274 | 6452.00 294 | 1268.00 271 | 5125.00 282 | 339.00 253 | 3004.00 295 | 4222.00 285 | 384.00 242 | 953.00 277 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| OPU-MVS | | | | | 2451.45 292 | 2725.60 305 | 2598.35 309 | 9203.30 285 | | | | 6894.28 291 | 887.23 295 | 3023.43 296 | 5973.88 296 | 1620.04 304 | 1732.56 300 |
|
| test_241102_TWO | | | | | | | | | 515.86 285 | 7016.02 299 | 2363.85 303 | 6894.28 291 | 887.23 295 | 3023.43 296 | 5973.88 296 | 1620.04 304 | 1732.56 300 |
|
| test_241102_ONE | | | | | | 2725.60 305 | 2598.35 309 | | 515.86 285 | 7016.02 299 | 2363.85 303 | 6894.28 291 | 887.23 295 | 3023.43 296 | | | |
|
| MSP-MVS | | | 4296.20 278 | 4911.12 282 | 2451.45 292 | 2725.60 305 | 2598.35 309 | 16203.30 309 | 515.86 285 | 7016.02 299 | 2363.85 303 | 6894.28 291 | 887.23 295 | 3023.43 296 | 5973.88 296 | 1620.04 304 | 1732.56 300 |
| 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 |
| MSC_two_6792asdad | | | | | 2237.56 284 | 2643.17 300 | 2465.14 303 | | 493.26 277 | | | | | 3088.29 300 | 6075.14 300 | 1078.39 292 | 1159.26 290 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 306 | 2107.24 299 | 7416.93 297 | 610.24 277 | 3088.29 300 | 6075.14 300 | 1078.39 292 | 1159.26 290 |
|
| No_MVS | | | | | 2237.56 284 | 2643.17 300 | 2465.14 303 | | 493.26 277 | | | | | 3088.29 300 | 6075.14 300 | 1078.39 292 | 1159.26 290 |
|
| SED-MVS | | | 4062.74 277 | 4671.13 278 | 2237.56 284 | 2643.17 300 | 2465.14 303 | 13996.40 305 | 493.26 277 | 7619.38 306 | 2107.24 299 | 7416.93 297 | 610.24 277 | 3088.29 300 | 6075.14 300 | 1078.39 292 | 1159.26 290 |
|
| MAR-MVS | | | 3973.16 273 | 4387.92 276 | 2728.86 294 | 3345.27 311 | 3341.39 315 | 11403.90 300 | 798.76 300 | 6555.62 297 | 2569.29 308 | 6514.86 289 | 834.97 294 | 3237.43 304 | 5891.08 295 | 1577.54 303 | 1607.76 296 |
| 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 |
| API-MVS | | | 4380.83 279 | 4906.56 281 | 2803.67 295 | 3844.00 312 | 3116.00 314 | 13454.00 304 | 901.00 307 | 6511.00 296 | 2794.00 309 | 7365.00 296 | 754.00 291 | 3634.00 305 | 6622.00 305 | 1914.00 309 | 1661.00 299 |
|
| OMC-MVS | | | 5022.26 280 | 5748.82 283 | 2842.58 296 | 4905.27 314 | 3101.27 313 | 14933.60 307 | 812.24 301 | 9278.40 310 | 2959.29 310 | 8800.17 307 | 1092.24 307 | 3806.30 306 | 7568.54 312 | 1389.60 302 | 1620.18 298 |
|
| tpm2 | | | 3617.85 268 | 4007.23 270 | 2449.73 288 | 2012.71 284 | 1698.05 284 | 7351.19 271 | 869.29 303 | 6132.06 287 | 1588.28 287 | 8007.42 303 | 1281.09 309 | 3888.11 307 | 7472.04 308 | 1351.00 298 | 1763.02 304 |
|
| tpm cat1 | | | 3617.85 268 | 4007.23 270 | 2449.73 288 | 2012.71 284 | 1698.05 284 | 7351.19 271 | 869.29 303 | 6132.06 287 | 1588.28 287 | 8007.42 303 | 1281.09 309 | 3888.11 307 | 7472.04 308 | 1351.00 298 | 1763.02 304 |
|
| CostFormer | | | 3617.85 268 | 4007.23 270 | 2449.73 288 | 2012.71 284 | 1698.05 284 | 7351.19 271 | 869.29 303 | 6132.06 287 | 1588.28 287 | 8007.42 303 | 1281.09 309 | 3888.11 307 | 7472.04 308 | 1351.00 298 | 1763.02 304 |
|
| tpm | | | 3617.85 268 | 4007.23 270 | 2449.73 288 | 2012.71 284 | 1698.05 284 | 7351.19 271 | 869.29 303 | 6132.06 287 | 1588.28 287 | 8007.42 303 | 1281.09 309 | 3888.11 307 | 7472.04 308 | 1351.00 298 | 1763.02 304 |
|
| CLD-MVS | | | 7338.25 281 | 8341.00 284 | 4330.00 297 | 4902.00 313 | 4991.00 316 | 23318.00 313 | 728.00 299 | 14437.00 320 | 4378.00 312 | 13379.00 315 | 824.00 293 | 5708.00 311 | 11429.00 321 | 1674.00 308 | 2291.00 308 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 282 | 8776.23 285 | 4410.16 298 | 5298.55 315 | 5631.53 317 | 34329.90 315 | 1504.57 317 | 11554.00 319 | 3896.41 311 | 15111.00 316 | 812.19 292 | 5985.63 312 | 3516.20 276 | 2963.23 311 | 1613.31 297 |
|
| ZNCC-MVS | | | 9999.00 283 | 9999.00 286 | 9999.00 300 | 9999.00 318 | 9999.00 320 | 9999.00 290 | 9999.00 323 | 9999.00 311 | 9999.00 315 | 9999.00 308 | 9999.00 316 | 9999.00 313 | 9999.00 313 | 9999.00 314 | 9999.00 312 |
|
| patch_mono-2 | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| dcpmvs_2 | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| DCPMVS | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| UA-Net | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| uncertanet | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| uanet | | | 10000.00 284 | 10000.00 287 | 10000.00 301 | 10000.00 319 | 10000.00 321 | 10000.00 291 | 10000.00 324 | 10000.00 312 | 10000.00 316 | 10000.00 309 | 10000.00 317 | 10000.00 314 | 10000.00 314 | 10000.00 315 | 10000.00 313 |
|
| CNLPA | | | 10738.67 291 | 11772.44 294 | 7637.33 299 | 9120.00 317 | 8206.00 318 | 22252.00 312 | 2010.00 318 | 24984.00 321 | 7458.00 314 | 22596.00 318 | 2940.00 314 | 10260.00 320 | 11100.00 320 | 3492.00 312 | 4446.00 310 |
|
| MVE | | 10021.00 22 | 10550.67 290 | 10002.44 293 | 12195.33 307 | 6242.00 316 | 8768.00 319 | 30896.00 314 | 4451.00 320 | 10331.00 318 | 6247.00 313 | 18296.00 317 | 283.00 246 | 21484.00 321 | 7364.00 307 | 5912.00 313 | 6334.00 311 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| LTVRE_ROB | | 20565.47 23 | 23378.08 292 | 22805.00 295 | 25097.33 308 | 15500.00 325 | 19201.00 327 | 42712.00 316 | 6055.00 321 | 38388.00 322 | 16926.00 322 | 38534.00 319 | 7071.00 315 | 35653.00 322 | 29475.00 322 | 10584.00 321 | 20438.00 320 |
| 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 |
| MSDG | | | 32606.17 293 | 34443.44 296 | 27094.33 309 | 29249.00 326 | 25246.00 328 | 51144.00 317 | 6705.00 322 | 42886.00 323 | 22888.00 323 | 48534.00 320 | 13263.00 323 | 37507.00 323 | 79298.00 323 | 16024.00 322 | 18530.00 319 |
|
| 114514_t | | | 99999.00 294 | 99999.00 297 | 99999.00 310 | 99999.00 327 | 99999.00 329 | 99999.00 318 | 99999.00 330 | 99999.00 324 | 99999.00 324 | 99999.00 321 | 99999.00 324 | 99999.00 324 | 99999.00 324 | 99999.00 323 | 99999.00 321 |
|
| PHI-MVS | | | 99999.00 294 | 99999.00 297 | 99999.00 310 | 99999.00 327 | 99999.00 329 | 99999.00 318 | 99999.00 330 | 99999.00 324 | 99999.00 324 | 99999.00 321 | 99999.00 324 | 99999.00 324 | 99999.00 324 | 99999.00 323 | 99999.00 321 |
|
| XVG-OURS-SEG-HR | | | 999999.00 298 | 999999.00 299 | 999999.00 312 | 999999.00 329 | 999999.00 331 | 999999.00 320 | 999999.00 332 | 999999.00 326 | 999999.00 326 | 999999.00 323 | 999999.00 326 | 999999.00 326 | 999999.00 326 | 999999.00 325 | 999999.00 323 |
|
| XVG-OURS | | | 999999.00 298 | 999999.00 299 | 999999.00 312 | 999999.00 329 | 999999.00 331 | 999999.00 320 | 999999.00 332 | 999999.00 326 | 999999.00 326 | 999999.00 323 | 999999.00 326 | 999999.00 326 | 999999.00 326 | 999999.00 325 | 999999.00 323 |
|
| XVG-ACMP-BASELINE | | | 999999.00 298 | 999999.00 299 | 999999.00 312 | 999999.00 329 | 999999.00 331 | 999999.00 320 | 999999.00 332 | 999999.00 326 | 999999.00 326 | 999999.00 323 | 999999.00 326 | 999999.00 326 | 999999.00 326 | 999999.00 325 | 999999.00 323 |
|
| MVSMamba_PlusPlus | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| MGCFI-Net | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| sasdasda | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| dmvs_re | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| SDMVSNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| dmvs_testset | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| sd_testset | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| balanced_conf03 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| MonoMVSNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test2506 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test1111 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| ECVR-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test_blank | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| tt0805 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Anonymous20240521 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| cl22 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| miper_ehance_all_eth | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| miper_enhance_ethall | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| cl____ | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| DIV-MVS_self_test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| eth_miper_zixun_eth | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| UniMVSNet_ETH3D | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| miper_lstm_enhance | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| D2MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test_yl | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| thisisatest0530 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Anonymous20240529 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Anonymous202405211 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| DCV-MVSNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| tttt0517 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| our_test_3 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| thisisatest0515 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| ppachtmachnet_test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| SMA-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
| DPE-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| tfpnnormal | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| tfpn200view9 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| c3_l | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| IterMVS-SCA-FT | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pmmvs6 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pmmvs5 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test_post1 | | | | | | | | 10000000.00 323 | | | | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | | | |
|
| Anonymous20231211 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pmmvs-eth3d | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Anonymous20231206 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| SCA | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Patchmatch-test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Patchmatch-RL test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| canonicalmvs | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| anonymousdsp | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| FIs | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| FC-MVSNet-test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| sosnet-low-res | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| AllTest | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| TestCases | | | | | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| RRT-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| mamv4 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| HPM-MVS++ | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| XVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pm-mvs1 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| X-MVStestdata | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| APDe-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pmmvs4 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test-LLR | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| TESTMET0.1,1 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test-mter | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| testgi | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test20.03 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| thres600view7 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| MP-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| thres400 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test123 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| thres200 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| test0.0.03 1 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| pmmvs3 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| EMVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| E-PMN | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PGM-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| MCST-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| MVS_Test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PMMVS2 | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PM-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| HQP_MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| plane_prior5 | | | | | | | | | 10000000.00 335 | | | | | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| mPP-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| mvsmamba | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| HPM-MVS_fast | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| HPM-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| LGP-MVS_train | | | | | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| EPNet_dtu | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP4-MVS | | | | | | | | | | | 10000000.00 329 | | | 10000000.00 329 | | | 10000000.00 326 |
|
| CNVR-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| NCCC | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| CP-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| CPTT-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| HQP-MVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| IS-MVSNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PAPM_NR | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PAPR | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PatchMatch-RL | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| TDRefinement | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| EPP-MVSNet | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PMMVS | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| PAPM | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| ACMMP | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
| 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 |
| ANet_high | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| wuyk23d | | | 10000000.00 301 | 10000000.00 304 | 10000000.00 315 | 10000000.00 332 | 10000000.00 334 | 10000000.00 323 | 10000000.00 335 | 10000000.00 329 | 10000000.00 329 | 10000000.00 326 | 10000000.00 329 | 10000000.00 329 | 10000000.00 329 | 10000000.00 328 | 10000000.00 326 |
|
| APD-MVS | | | 1000000000.00 410 | 1000000000.00 413 | 1000000000.00 426 | 1000000000.00 451 | 1000000000.00 451 | 1000000000.00 437 | 1000000000.00 451 | 1000000000.00 444 | 1000000000.00 445 | 1000000000.00 442 | 1000000000.00 447 | 1000000000.00 445 | 1000000000.00 444 | 1000000000.00 443 | 1000000000.00 441 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 195 | | | | | | | | 422.23 188 | | |
|
| FOURS1 | | | | | | 2643.17 300 | 2465.14 303 | 13996.40 305 | 493.26 277 | 7619.38 306 | 2107.24 299 | | | | | | |
|
| test_one_0601 | | | | | | 2643.17 300 | 2465.14 303 | | 493.26 277 | 7619.38 306 | 2107.24 299 | 7416.93 297 | 610.24 277 | | | | |
|
| eth-test2 | | | | | | 1.42 88 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 332 | | | | | | | | | | | |
|
| RE-MVS-def | | | | 610.10 199 | | 610.10 227 | 610.10 240 | 610.10 183 | 610.10 292 | 610.10 194 | 610.10 239 | 610.10 190 | 610.10 275 | | 610.10 209 | 610.10 248 | 610.10 246 |
|
| IU-MVS | | | | | | 2725.60 305 | 2598.35 309 | | 515.86 285 | 7016.02 299 | 2363.85 303 | | | | 5973.88 296 | 1620.04 304 | 1732.56 300 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test0726 | | | | | | 1725.60 272 | 1598.35 276 | 9203.30 285 | 315.86 252 | 5016.02 281 | 1363.85 273 | 4894.28 279 | 387.23 258 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 326 |
|
| test_part2 | | | | | | 10000000.00 332 | 10000000.00 334 | | | | 10000000.00 329 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 329 | | | | 10000000.00 326 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 329 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 335 | | | | | | | | |
|
| MTMP | | | | | | | | 10000000.00 323 | 10000000.00 335 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| æ–°å‡ ä½•2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 332 | 10000000.00 334 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 332 | 10000000.00 334 | | | | | | 10000000.00 329 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 326 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 334 | | | 10000000.00 329 | 10000000.00 329 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 323 | | 10000000.00 329 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 332 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 82 | 2.00 120 | | 2.00 121 | | | | | | 2.00 119 | |
|
| n2 | | | | | | | | | 14.20 162 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 90 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 90 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 83 | | | | | | | | |
|
| door | | | | | | | | | 99.00 214 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 334 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 332 | | 10000000.00 323 | | 10000000.00 329 | 10000000.00 329 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 332 | | 10000000.00 323 | | 10000000.00 329 | 10000000.00 329 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 329 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 335 | | | | | | | 10000000.00 328 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 329 | | | | |
|
| NP-MVS | | | | | | 10000000.00 332 | 10000000.00 334 | | | | | 10000000.00 326 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 142 | 9.99 140 | | 9.99 141 | 9.99 140 | | 9.99 142 | | 9.99 138 | | 9.99 141 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 328 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 328 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 299 | | | | |
|
