| 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 | |
|
| save fliter | | | | | | 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 |
|
| 新几何1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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 |
|
| 无先验 | | | | | | | | 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 |
|
| 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 |
|
| 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 38 | 0.30 39 | 0.30 43 | 0.30 50 | 0.30 50 | 0.30 50 | 0.30 51 | 0.30 50 | 0.30 49 | 0.30 47 | 0.30 49 | 0.30 50 | 0.30 48 | 0.30 48 | 0.30 48 |
|
| hse-mvs2 | | | 0.30 38 | 0.30 39 | 0.30 43 | 0.30 50 | 0.30 50 | 0.30 50 | 0.30 51 | 0.30 50 | 0.30 49 | 0.30 47 | 0.30 49 | 0.30 50 | 0.30 48 | 0.30 48 | 0.30 48 |
|
| CL-MVSNet_self_test | | | 0.30 38 | 0.30 39 | 0.30 43 | 0.30 50 | 0.30 50 | 0.30 50 | 0.30 51 | 0.30 50 | 0.30 49 | 0.30 47 | 0.30 49 | 0.30 50 | 0.30 48 | 0.30 48 | 0.30 48 |
|
| AUN-MVS | | | 0.30 38 | 0.30 39 | 0.30 43 | 0.30 50 | 0.30 50 | 0.30 50 | 0.30 51 | 0.30 50 | 0.30 49 | 0.30 47 | 0.30 49 | 0.30 50 | 0.30 48 | 0.30 48 | 0.30 48 |
|
| LCM-MVSNet | | | 0.37 42 | 0.36 43 | 0.37 47 | 0.37 54 | 0.37 54 | 0.37 54 | 0.32 55 | 0.37 54 | 0.37 53 | 0.37 51 | 0.37 53 | 0.37 54 | 0.37 52 | 0.37 52 | 0.37 52 |
|
| Fast-Effi-MVS+ | | | 0.41 55 | 0.40 44 | 0.41 60 | 0.41 67 | 0.41 67 | 0.41 67 | 0.35 56 | 0.41 67 | 0.41 66 | 0.41 64 | 0.41 66 | 0.41 67 | 0.41 65 | 0.41 65 | 0.41 65 |
|
| v144192 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v1921920 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v1192 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v1144 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v148 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v7n | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v1240 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v8 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v10 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| v2v482 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| V42 | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| GA-MVS | | | 0.40 43 | 0.40 44 | 0.40 48 | 0.40 55 | 0.40 55 | 0.40 55 | 0.40 57 | 0.40 55 | 0.40 54 | 0.40 52 | 0.40 54 | 0.40 55 | 0.40 53 | 0.40 53 | 0.40 53 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 56 | 0.44 57 | 0.44 61 | 0.44 68 | 0.44 68 | 0.44 68 | 0.44 69 | 0.44 68 | 0.44 67 | 0.44 65 | 0.44 67 | 0.44 68 | 0.44 66 | 0.44 66 | 0.44 66 |
|
| Effi-MVS+ | | | 0.58 57 | 0.56 58 | 0.62 64 | 0.53 69 | 0.62 71 | 0.53 69 | 0.53 70 | 0.53 69 | 0.62 70 | 0.62 68 | 0.53 68 | 0.62 71 | 0.62 68 | 0.53 67 | 0.62 69 |
|
| KD-MVS_self_test | | | 0.60 59 | 0.60 59 | 0.60 63 | 0.60 70 | 0.60 70 | 0.60 71 | 0.60 71 | 0.60 70 | 0.60 69 | 0.60 67 | 0.60 69 | 0.60 70 | 0.60 67 | 0.60 69 | 0.60 68 |
|
| EIA-MVS | | | 0.62 60 | 0.62 61 | 0.62 64 | 0.62 71 | 0.62 71 | 0.62 72 | 0.62 72 | 0.62 71 | 0.62 70 | 0.62 68 | 0.62 70 | 0.62 71 | 0.62 68 | 0.62 70 | 0.62 69 |
|
| ETV-MVS | | | 0.62 60 | 0.62 61 | 0.62 64 | 0.62 71 | 0.62 71 | 0.62 72 | 0.62 72 | 0.62 71 | 0.62 70 | 0.62 68 | 0.62 70 | 0.62 71 | 0.62 68 | 0.62 70 | 0.62 69 |
|
| CS-MVS | | | 0.62 60 | 0.62 61 | 0.62 64 | 0.62 71 | 0.62 71 | 0.62 72 | 0.62 72 | 0.62 71 | 0.62 70 | 0.62 68 | 0.62 70 | 0.62 71 | 0.62 68 | 0.62 70 | 0.62 69 |
|
| SPE-MVS-test | | | 0.62 60 | 0.62 61 | 0.62 64 | 0.62 71 | 0.62 71 | 0.62 72 | 0.62 72 | 0.62 71 | 0.62 70 | 0.62 68 | 0.62 70 | 0.62 71 | 0.62 68 | 0.62 70 | 0.62 69 |
|
| EC-MVSNet | | | 0.62 60 | 0.62 61 | 0.62 64 | 0.62 71 | 0.62 71 | 0.62 72 | 0.62 72 | 0.62 71 | 0.62 70 | 0.62 68 | 0.62 70 | 0.62 71 | 0.62 68 | 0.62 70 | 0.62 69 |
|
| Effi-MVS+-dtu | | | 0.59 58 | 0.61 60 | 0.53 62 | 0.68 76 | 0.53 69 | 0.53 69 | 0.68 77 | 0.68 76 | 0.53 68 | 0.53 66 | 0.68 75 | 0.53 69 | 0.68 74 | 0.53 67 | 0.53 67 |
|
| CDS-MVSNet | | | 0.88 65 | 0.88 66 | 0.88 70 | 0.88 77 | 0.88 77 | 0.88 77 | 0.88 78 | 0.88 77 | 0.88 76 | 0.88 74 | 0.88 76 | 0.88 77 | 0.88 75 | 0.88 75 | 0.88 75 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 65 | 0.88 66 | 0.88 70 | 0.88 77 | 0.88 77 | 0.88 77 | 0.88 78 | 0.88 77 | 0.88 76 | 0.88 74 | 0.88 76 | 0.88 77 | 0.88 75 | 0.88 75 | 0.88 75 |
|
| LCM-MVSNet-Re | | | 0.89 67 | 0.89 68 | 0.89 72 | 0.89 79 | 0.89 79 | 0.89 79 | 0.89 80 | 0.89 79 | 0.89 78 | 0.89 76 | 0.89 78 | 0.89 79 | 0.89 77 | 0.89 77 | 0.89 77 |
|
| test11 | | | | | | | | | 1.00 81 | | | | | | | | |
|
| DeepMVS_CX |  | | | | 1.00 73 | 1.00 80 | 1.00 80 | | 1.00 81 | 1.00 80 | 1.00 79 | 1.00 77 | 1.00 79 | 1.00 80 | 1.00 78 | 1.00 78 | 1.00 78 |
|
| MDA-MVSNet-bldmvs | | | 1.20 68 | 1.20 69 | 1.20 74 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 83 | 1.20 81 | 1.20 80 | 1.20 78 | 1.20 80 | 1.20 81 | 1.20 79 | 1.20 79 | 1.20 79 |
|
| YYNet1 | | | 1.20 68 | 1.20 69 | 1.20 74 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 83 | 1.20 81 | 1.20 80 | 1.20 78 | 1.20 80 | 1.20 81 | 1.20 79 | 1.20 79 | 1.20 79 |
|
| MDA-MVSNet_test_wron | | | 1.20 68 | 1.20 69 | 1.20 74 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 83 | 1.20 81 | 1.20 80 | 1.20 78 | 1.20 80 | 1.20 81 | 1.20 79 | 1.20 79 | 1.20 79 |
|
| KD-MVS_2432*1600 | | | 1.30 71 | 1.30 72 | 1.30 77 | 1.30 84 | 1.30 85 | 1.30 83 | 1.30 86 | 1.30 84 | 1.30 83 | 1.30 81 | 1.30 83 | 1.30 84 | 1.30 82 | 1.30 82 | 1.30 82 |
|
| miper_refine_blended | | | 1.30 71 | 1.30 72 | 1.30 77 | 1.30 84 | 1.30 85 | 1.30 83 | 1.30 86 | 1.30 84 | 1.30 83 | 1.30 81 | 1.30 83 | 1.30 84 | 1.30 82 | 1.30 82 | 1.30 82 |
|
| EI-MVSNet-UG-set | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| EI-MVSNet-Vis-set | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| EI-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| Regformer | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| CVMVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| EU-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| PS-CasMVS | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| PEN-MVS | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| TransMVSNet (Re) | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| DTE-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| DU-MVS | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| UniMVSNet (Re) | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| CP-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| WR-MVS_H | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| WR-MVS | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| NR-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| Baseline_NR-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| nn | | | | | | | | | 1.42 88 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 88 | | | | | | | | |
|
| MVSFormer | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| jason | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
| jason: jason. |
| lupinMVS | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| test_djsdf | | | 1.42 73 | 1.42 74 | 1.42 79 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 88 | 1.42 86 | 1.42 85 | 1.42 83 | 1.42 85 | 1.42 86 | 1.42 84 | 1.42 84 | 1.42 84 |
|
| reproduce_monomvs | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| mmtdpeth | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| reproduce_model | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| reproduce-ours | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| our_new_method | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| mmdepth | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| monomultidepth | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| mvs5depth | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| MVStest1 | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| ttmdpeth | | | 1.48 96 | 1.48 97 | 1.48 102 | 1.48 110 | 1.48 110 | 1.48 108 | 1.48 113 | 1.48 109 | 1.48 108 | 1.48 106 | 1.48 108 | 1.48 109 | 1.48 107 | 1.48 107 | 1.48 107 |
|
| alignmvs | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| nrg030 | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| LFMVS | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| VDD-MVS | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| VDDNet | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| VPNet | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| VNet | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| VPA-MVSNet | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| cascas | | | 2.00 106 | 2.00 107 | 2.00 112 | 2.00 120 | 2.00 120 | 2.00 118 | 2.00 123 | 2.00 119 | 2.00 118 | 2.00 116 | 2.00 118 | 2.00 119 | 2.00 117 | 2.00 117 | 2.00 117 |
|
| dp | | | 87.20 144 | 113.80 148 | 7.42 131 | 10.50 150 | 8.88 139 | 298.82 165 | 2.70 132 | 510.35 184 | 7.79 137 | 172.93 158 | 3.37 127 | 9.16 138 | 14.00 149 | 3.71 127 | 4.23 127 |
|
| test_method | | | 18.29 137 | 20.89 139 | 10.50 142 | 15.00 152 | 13.00 154 | 55.00 157 | 3.00 133 | 34.00 154 | 11.50 150 | 32.50 148 | 5.00 128 | 13.50 151 | 27.00 152 | 5.00 128 | 5.00 128 |
|
| GeoE | | | 19.41 138 | 22.09 140 | 11.37 143 | 17.21 154 | 11.30 152 | 50.50 156 | 4.30 134 | 33.60 153 | 11.70 152 | 44.50 153 | 7.30 139 | 18.90 153 | 22.60 151 | 7.10 139 | 3.90 126 |
|
| UnsupCasMVSNet_eth | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| UnsupCasMVSNet_bld | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| WTY-MVS | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| HY-MVS | | 5.90 1 | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| sss | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| Test_1112_low_res | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| 1112_ss | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| ab-mvs-re | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| ab-mvs | | | 5.90 115 | 5.90 116 | 5.90 121 | 5.90 129 | 5.90 129 | 5.90 128 | 5.90 135 | 5.90 129 | 5.90 127 | 5.90 125 | 5.90 129 | 5.90 128 | 5.90 126 | 5.90 129 | 5.90 129 |
|
| CDPH-MVS | | | 6.66 124 | 6.66 125 | 6.66 130 | 6.66 138 | 6.66 138 | 6.66 137 | 6.66 144 | 6.66 138 | 6.66 136 | 6.66 134 | 6.66 138 | 6.66 137 | 6.66 135 | 6.66 138 | 6.66 138 |
|
| GBi-Net | | | 44.67 143 | 49.24 145 | 30.96 146 | 47.53 159 | 47.57 160 | 126.09 158 | 8.00 145 | 76.99 159 | 26.09 154 | 73.50 155 | 11.27 152 | 30.55 154 | 61.12 157 | 12.58 152 | 14.75 151 |
|
| MDTV_nov1_ep13 | | | | 9.99 126 | | 9.99 139 | 9.99 140 | 9.99 138 | 9.99 146 | 9.99 139 | 9.99 138 | 9.99 135 | 9.99 140 | 9.99 139 | 9.99 136 | 9.99 140 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| xiu_mvs_v2_base | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| xiu_mvs_v1_base | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| xiu_mvs_v1_base_debi | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| cdsmvs_eth3d_5k | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| pcd_1.5k_mvsjas | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| PS-MVSNAJss | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| PS-MVSNAJ | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| jajsoiax | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| mvs_tets | | | 10.28 125 | 10.28 127 | 10.28 132 | 10.28 140 | 10.28 142 | 10.28 140 | 10.28 147 | 10.28 141 | 10.28 140 | 10.28 136 | 10.28 142 | 10.28 140 | 10.28 138 | 10.28 141 | 10.28 140 |
|
| MP-MVS-pluss | | | 833433.63 292 | 1111219.60 298 | 75.70 157 | 74.28 161 | 73.29 164 | 284.50 162 | 11.35 157 | 238.58 166 | 65.86 162 | 255.35 174 | 14.55 155 | 115.69 176 | 10000000.00 325 | 31.94 155 | 38.12 161 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 150 | 133.18 152 | 75.70 157 | 74.28 161 | 73.29 164 | 284.50 162 | 11.35 157 | 238.58 166 | 65.86 162 | 255.35 174 | 14.55 155 | 115.69 176 | 222.18 176 | 31.94 155 | 38.12 161 |
|
| SR-MVS-dyc-post | | | 11.55 135 | 11.55 137 | 11.55 144 | 11.55 151 | 11.55 153 | 11.55 150 | 11.55 159 | 11.55 151 | 11.55 151 | 11.55 146 | 11.55 153 | 11.55 150 | 11.55 148 | 11.55 151 | 11.55 150 |
|
| n2 | | | | | | | | | 14.20 160 | | | | | | | | |
|
| XXY-MVS | | | 15.00 136 | 15.00 138 | 15.00 145 | 15.00 152 | 15.00 155 | 15.00 151 | 15.00 161 | 15.00 152 | 15.00 153 | 15.00 147 | 15.00 157 | 15.00 152 | 15.00 150 | 15.00 153 | 15.00 152 |
|
| new_pmnet | | | 88.14 145 | 98.62 146 | 56.70 151 | 98.14 166 | 56.07 161 | 246.79 160 | 15.37 162 | 148.06 160 | 50.77 159 | 143.13 156 | 23.35 158 | 62.65 159 | 93.26 158 | 68.71 177 | 51.38 173 |
|
| N_pmnet | | | 88.14 145 | 98.62 146 | 56.70 151 | 98.14 166 | 56.07 161 | 246.79 160 | 15.37 162 | 148.06 160 | 50.77 159 | 143.13 156 | 23.35 158 | 62.65 159 | 93.26 158 | 68.71 177 | 51.38 173 |
|
| BP-MVS1 | | | 202.65 162 | 232.15 164 | 114.16 170 | 183.40 180 | 141.78 180 | 655.87 184 | 24.69 164 | 372.56 179 | 109.76 178 | 356.89 176 | 47.15 178 | 139.51 178 | 284.15 178 | 54.86 174 | 61.20 175 |
|
| CANet | | | 110.62 147 | 124.04 149 | 70.34 154 | 82.03 163 | 74.27 166 | 325.54 166 | 25.25 165 | 207.16 162 | 69.28 164 | 194.38 159 | 27.53 160 | 95.79 168 | 147.76 162 | 37.43 157 | 40.97 167 |
|
| CANet_DTU | | | 110.62 147 | 124.04 149 | 70.34 154 | 82.03 163 | 74.27 166 | 325.54 166 | 25.25 165 | 207.16 162 | 69.28 164 | 194.38 159 | 27.53 160 | 95.79 168 | 147.76 162 | 37.43 157 | 40.97 167 |
|
| UGNet | | | 110.62 147 | 124.04 149 | 70.34 154 | 82.03 163 | 74.27 166 | 325.54 166 | 25.25 165 | 207.16 162 | 69.28 164 | 194.38 159 | 27.53 160 | 95.79 168 | 147.76 162 | 37.43 157 | 40.97 167 |
| 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 | | | 136.90 159 | 155.40 161 | 81.40 166 | 111.00 176 | 96.20 170 | 407.00 176 | 25.90 168 | 251.60 168 | 85.10 174 | 240.50 170 | 37.00 170 | 99.90 171 | 199.80 172 | 40.70 171 | 48.10 170 |
|
| PVSNet_BlendedMVS | | | 136.90 159 | 155.40 161 | 81.40 166 | 111.00 176 | 96.20 170 | 407.00 176 | 25.90 168 | 251.60 168 | 85.10 174 | 240.50 170 | 37.00 170 | 99.90 171 | 199.80 172 | 40.70 171 | 48.10 170 |
|
| PVSNet_Blended | | | 136.90 159 | 155.40 161 | 81.40 166 | 111.00 176 | 96.20 170 | 407.00 176 | 25.90 168 | 251.60 168 | 85.10 174 | 240.50 170 | 37.00 170 | 99.90 171 | 199.80 172 | 40.70 171 | 48.10 170 |
|
| FMVSNet5 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| test1 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| FMVSNet3 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| FMVSNet2 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| FMVSNet1 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| MIMVSNet1 | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| MIMVSNet | | | 124.76 151 | 140.93 153 | 76.26 159 | 107.44 169 | 100.17 173 | 329.88 169 | 27.12 171 | 259.44 171 | 74.30 167 | 204.34 162 | 30.74 163 | 92.41 161 | 196.98 165 | 38.15 160 | 36.19 154 |
|
| FE-MVS | | | 207.10 163 | 234.26 165 | 125.61 171 | 180.34 179 | 153.23 181 | 635.64 183 | 30.05 178 | 378.38 180 | 127.68 179 | 377.08 177 | 48.95 179 | 154.43 179 | 266.67 177 | 63.56 175 | 69.18 176 |
|
| GDP-MVS | | | 219.79 164 | 249.11 166 | 131.85 172 | 187.15 181 | 155.97 182 | 667.31 185 | 30.57 179 | 398.95 181 | 131.26 180 | 387.86 178 | 58.83 181 | 164.55 180 | 315.00 179 | 65.03 176 | 75.04 177 |
|
| BH-w/o | | | 40.00 139 | 40.00 141 | 40.00 147 | 40.00 155 | 40.00 156 | 40.00 152 | 40.00 180 | 40.00 155 | 40.00 155 | 40.00 149 | 40.00 174 | 40.00 155 | 40.00 153 | 40.00 167 | 40.00 163 |
|
| BH-untuned | | | 40.00 139 | 40.00 141 | 40.00 147 | 40.00 155 | 40.00 156 | 40.00 152 | 40.00 180 | 40.00 155 | 40.00 155 | 40.00 149 | 40.00 174 | 40.00 155 | 40.00 153 | 40.00 167 | 40.00 163 |
|
| BH-RMVSNet | | | 40.00 139 | 40.00 141 | 40.00 147 | 40.00 155 | 40.00 156 | 40.00 152 | 40.00 180 | 40.00 155 | 40.00 155 | 40.00 149 | 40.00 174 | 40.00 155 | 40.00 153 | 40.00 167 | 40.00 163 |
|
| TR-MVS | | | 40.00 139 | 40.00 141 | 40.00 147 | 40.00 155 | 40.00 156 | 40.00 152 | 40.00 180 | 40.00 155 | 40.00 155 | 40.00 149 | 40.00 174 | 40.00 155 | 40.00 153 | 40.00 167 | 40.00 163 |
|
| FA-MVS(test-final) | | | 261.15 165 | 293.29 167 | 164.72 173 | 236.23 184 | 199.99 187 | 800.05 191 | 42.35 184 | 475.87 183 | 155.47 181 | 470.67 180 | 58.49 180 | 205.24 182 | 319.44 180 | 81.03 180 | 88.93 178 |
|
| DSMNet-mixed | | | 131.33 158 | 143.00 160 | 96.33 169 | 99.00 168 | 81.00 169 | 201.00 159 | 45.00 185 | 335.00 178 | 99.00 177 | 251.00 173 | 38.00 173 | 110.00 175 | 120.00 161 | 99.00 183 | 98.00 179 |
|
| WB-MVS | | | 316.44 168 | 357.41 170 | 193.51 177 | 257.06 186 | 213.32 189 | 914.45 193 | 49.03 186 | 600.77 191 | 186.42 185 | 634.00 192 | 75.03 186 | 251.35 187 | 411.39 184 | 88.55 181 | 115.87 183 |
|
| kuosan | | | 267.89 167 | 301.05 169 | 168.41 174 | 244.05 185 | 177.28 183 | 667.98 186 | 65.76 187 | 533.41 185 | 157.79 182 | 492.01 181 | 104.69 196 | 226.72 183 | 364.47 183 | 79.31 179 | 101.21 181 |
|
| testing91 | | | 347.05 170 | 389.92 172 | 218.43 179 | 275.92 190 | 241.43 191 | 923.71 195 | 71.70 188 | 667.65 196 | 217.04 189 | 629.00 190 | 113.33 199 | 281.39 189 | 495.50 189 | 115.45 186 | 132.47 186 |
|
| testing11 | | | 348.86 171 | 393.09 173 | 216.15 178 | 275.24 189 | 239.53 190 | 915.55 194 | 72.35 189 | 679.89 197 | 215.75 188 | 633.79 191 | 118.08 200 | 276.62 188 | 509.56 197 | 117.61 189 | 132.30 185 |
|
| dongtai | | | 360.45 172 | 401.64 174 | 236.89 182 | 303.10 192 | 262.16 197 | 963.12 196 | 72.78 190 | 622.82 194 | 199.37 186 | 708.06 195 | 130.96 203 | 310.90 192 | 506.46 196 | 108.11 184 | 137.60 189 |
|
| WB-MVSnew | | | 404.84 178 | 458.00 180 | 245.36 184 | 374.70 201 | 320.27 203 | 1193.74 213 | 72.90 191 | 773.77 205 | 238.30 190 | 688.22 194 | 90.05 189 | 308.59 191 | 532.76 200 | 157.54 199 | 107.21 182 |
|
| SSC-MVS | | | 320.23 169 | 364.09 171 | 188.66 176 | 260.78 187 | 193.84 185 | 975.93 199 | 73.11 192 | 596.72 190 | 185.29 184 | 589.02 187 | 74.47 185 | 246.01 186 | 427.42 186 | 94.06 182 | 126.12 184 |
|
| testing99 | | | 408.82 179 | 462.15 181 | 248.86 186 | 322.45 195 | 269.42 198 | 1118.93 210 | 73.26 193 | 719.36 200 | 262.28 194 | 772.10 198 | 150.98 209 | 327.08 194 | 601.98 204 | 137.99 193 | 150.07 192 |
|
| DP-MVS | | | 264.78 166 | 296.02 168 | 171.04 175 | 191.70 182 | 183.96 184 | 827.10 192 | 78.36 194 | 438.24 182 | 176.64 183 | 435.12 179 | 65.04 183 | 230.52 185 | 334.02 181 | 117.96 190 | 98.64 180 |
|
| DP-MVS Recon | | | 516.25 191 | 581.17 192 | 321.48 199 | 361.02 199 | 429.00 215 | 1995.36 227 | 78.48 195 | 796.20 206 | 283.32 201 | 796.02 203 | 96.78 191 | 382.98 203 | 636.72 210 | 186.66 210 | 152.46 193 |
|
| testing222 | | | 430.52 181 | 487.50 185 | 259.56 188 | 379.87 205 | 282.69 199 | 1138.34 211 | 81.30 196 | 880.86 209 | 281.58 198 | 834.27 209 | 135.83 206 | 333.22 195 | 514.90 198 | 140.56 194 | 162.76 195 |
|
| ACMH+ | | 729.97 2 | 661.38 198 | 754.00 200 | 383.51 203 | 368.96 200 | 376.38 210 | 2483.74 241 | 82.42 197 | 1089.25 222 | 333.39 208 | 1219.68 227 | 66.53 184 | 573.60 226 | 957.86 224 | 184.14 209 | 200.56 207 |
|
| UWE-MVS | | | 387.98 175 | 438.66 178 | 235.93 180 | 349.32 198 | 257.61 195 | 1081.50 207 | 82.45 198 | 637.74 195 | 257.12 193 | 738.54 197 | 134.25 204 | 308.00 190 | 531.93 199 | 135.11 192 | 142.17 190 |
|
| ETVMVS | | | 443.50 185 | 498.07 187 | 279.78 191 | 378.05 204 | 321.57 204 | 1163.68 212 | 87.12 199 | 897.50 212 | 269.81 197 | 822.83 208 | 141.20 208 | 334.53 196 | 568.21 203 | 154.21 195 | 183.26 202 |
|
| ADS-MVSNet2 | | | 443.33 183 | 482.84 183 | 324.79 200 | 434.94 213 | 387.73 211 | 1110.57 208 | 87.69 200 | 887.02 210 | 282.92 199 | 779.29 199 | 98.57 194 | 422.76 209 | 502.40 190 | 162.19 203 | 163.87 196 |
|
| ADS-MVSNet | | | 443.33 183 | 482.84 183 | 324.79 200 | 434.94 213 | 387.73 211 | 1110.57 208 | 87.69 200 | 887.02 210 | 282.92 199 | 779.29 199 | 98.57 194 | 422.76 209 | 502.40 190 | 162.19 203 | 163.87 196 |
|
| RPSCF | | | 394.81 177 | 445.63 179 | 242.35 183 | 276.55 191 | 253.63 193 | 1207.27 214 | 90.69 202 | 715.56 198 | 241.57 192 | 684.87 193 | 111.96 198 | 320.02 193 | 548.38 201 | 133.81 191 | 153.39 194 |
|
| testing3 | | | 418.10 180 | 469.06 182 | 265.23 189 | 335.69 196 | 290.63 200 | 1240.88 215 | 93.72 203 | 717.99 199 | 215.31 187 | 811.97 207 | 232.41 239 | 358.74 197 | 458.67 187 | 114.88 185 | 146.32 191 |
|
| MVP-Stereo | | | 473.58 186 | 533.67 188 | 293.33 192 | 376.00 202 | 318.00 201 | 1461.00 218 | 96.00 204 | 835.00 207 | 290.00 202 | 804.00 204 | 97.00 192 | 383.00 204 | 688.00 215 | 156.00 196 | 179.00 200 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 186 | 533.67 188 | 293.33 192 | 376.00 202 | 318.00 201 | 1461.00 218 | 96.00 204 | 835.00 207 | 290.00 202 | 804.00 204 | 97.00 192 | 383.00 204 | 688.00 215 | 156.00 196 | 179.00 200 |
|
| lessismore_v0 | | | | | 569.20 222 | 667.25 239 | 644.68 239 | | 96.45 206 | | 428.86 214 | 1514.17 241 | 204.21 234 | 756.58 235 | 1061.60 235 | 197.79 212 | 306.34 224 |
|
| EG-PatchMatch MVS | | | 437.03 182 | 493.12 186 | 268.77 190 | 264.80 188 | 260.20 196 | 1491.80 220 | 98.00 207 | 723.20 201 | 238.80 191 | 722.40 196 | 63.10 182 | 382.00 202 | 629.00 208 | 207.00 213 | 164.10 198 |
|
| Syy-MVS | | | 370.76 173 | 415.60 176 | 236.25 181 | 310.54 193 | 210.76 188 | 965.13 197 | 98.58 208 | 746.06 202 | 266.26 195 | 788.85 201 | 91.37 190 | 364.76 198 | 357.17 182 | 116.42 187 | 133.22 187 |
|
| myMVS_eth3d | | | 390.90 176 | 437.44 177 | 251.28 187 | 310.54 193 | 255.86 194 | 965.13 197 | 98.58 208 | 746.06 202 | 266.26 195 | 788.85 201 | 154.95 210 | 364.76 198 | 490.19 188 | 116.42 187 | 133.22 187 |
|
| door | | | | | | | | | 99.00 210 | | | | | | | | |
|
| WBMVS | | | 655.88 197 | 770.84 202 | 310.98 197 | 391.79 207 | 353.00 207 | 2280.68 229 | 99.17 211 | 1776.79 244 | 301.20 204 | 1123.23 226 | 187.34 225 | 390.28 206 | 620.39 207 | 156.98 198 | 189.66 204 |
|
| IterMVS | | | 615.05 195 | 691.66 198 | 385.23 204 | 516.40 216 | 454.80 216 | 1863.80 225 | 102.10 212 | 1142.20 223 | 364.10 210 | 1093.20 225 | 135.00 205 | 480.40 212 | 826.90 219 | 181.20 207 | 220.50 208 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| K. test v3 | | | 877.74 216 | 980.16 219 | 570.46 223 | 1316.85 262 | 813.15 248 | 2565.52 243 | 103.78 213 | 1509.49 239 | 548.33 227 | 1258.90 228 | 219.93 238 | 587.82 228 | 1102.37 243 | 196.30 211 | 310.42 225 |
|
| SixPastTwentyTwo | | | 773.62 203 | 869.37 209 | 486.35 216 | 603.45 220 | 547.15 230 | 2532.14 242 | 106.92 214 | 1434.95 230 | 428.08 213 | 1360.56 230 | 165.15 215 | 628.96 232 | 984.09 225 | 209.01 215 | 282.94 220 |
|
| PatchmatchNet |  | | 492.52 188 | 551.22 190 | 316.40 198 | 400.20 209 | 357.90 209 | 1277.10 216 | 115.80 215 | 1034.60 221 | 315.90 205 | 874.00 210 | 155.10 211 | 402.20 207 | 629.50 209 | 158.80 200 | 189.10 203 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| DELS-MVS | | | 514.57 190 | 587.73 193 | 295.12 194 | 343.03 197 | 328.09 206 | 1540.48 222 | 116.22 216 | 988.59 213 | 325.44 207 | 906.22 211 | 119.86 202 | 365.72 200 | 788.60 218 | 161.09 202 | 191.55 205 |
| 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 |
| UBG | | | 667.82 199 | 787.71 203 | 308.16 196 | 385.94 206 | 327.65 205 | 1718.51 223 | 117.00 217 | 1942.46 249 | 317.12 206 | 1488.73 240 | 183.89 217 | 404.82 208 | 763.70 217 | 172.02 206 | 192.01 206 |
|
| mvs_anonymous | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
|
| casdiffmvs | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
| 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 | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
| 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 | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
|
| baseline1 | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
|
| casdiffmvs_mvg | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
| 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 | | | 774.90 204 | 882.28 210 | 452.77 206 | 636.50 230 | 537.20 222 | 2348.80 232 | 120.30 218 | 1504.30 232 | 474.40 216 | 1371.10 232 | 186.90 218 | 564.70 219 | 1078.90 236 | 219.30 216 | 256.40 210 |
|
| IterMVS-LS | | | 758.94 201 | 856.56 206 | 466.10 214 | 606.60 221 | 546.80 229 | 2309.90 230 | 122.20 225 | 1402.80 229 | 463.50 215 | 1348.20 229 | 192.60 228 | 574.60 227 | 1028.60 234 | 234.60 225 | 276.90 219 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 196 | 700.96 199 | 362.78 202 | 426.10 212 | 409.25 213 | 1822.69 224 | 124.42 226 | 1186.23 224 | 366.85 211 | 1079.42 223 | 190.60 227 | 451.78 211 | 930.72 223 | 181.59 208 | 227.30 209 |
| 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 |
| PVSNet | | 1207.94 6 | 829.56 214 | 937.18 217 | 506.69 218 | 645.55 237 | 585.72 232 | 2477.98 240 | 130.52 227 | 1578.29 240 | 509.50 224 | 1460.01 239 | 194.90 229 | 637.19 233 | 1170.78 244 | 267.07 229 | 297.17 222 |
|
| ACMH | | 993.80 5 | 967.92 219 | 1106.11 229 | 553.33 220 | 494.00 215 | 534.00 220 | 3581.00 247 | 136.00 228 | 1585.00 241 | 478.00 223 | 1871.00 246 | 90.00 187 | 839.00 238 | 1460.00 247 | 260.00 226 | 287.00 221 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 1242.93 232 | 1411.08 235 | 738.48 237 | 712.71 241 | 712.68 242 | 4168.17 252 | 136.50 229 | 2276.40 253 | 613.28 237 | 2368.60 253 | 161.61 213 | 1130.38 256 | 1964.54 256 | 297.88 232 | 372.39 233 |
|
| MVS_111021_LR | | | 1136.45 230 | 1298.72 233 | 649.64 228 | 756.17 243 | 726.26 244 | 3785.94 248 | 138.15 230 | 2190.64 252 | 629.63 238 | 2064.39 249 | 165.45 216 | 874.83 240 | 1678.43 252 | 279.70 230 | 347.82 231 |
|
| new-patchmatchnet | | | 766.12 202 | 859.03 207 | 487.38 217 | 595.68 218 | 536.14 221 | 2346.27 231 | 142.51 231 | 1488.08 231 | 422.43 212 | 1361.32 231 | 163.65 214 | 628.60 231 | 1003.74 233 | 207.61 214 | 297.41 223 |
|
| ACMMPR | | | 1296.60 234 | 1480.82 237 | 743.96 238 | 899.25 247 | 763.47 246 | 4305.47 253 | 143.90 232 | 2530.94 256 | 683.99 239 | 2346.34 252 | 201.65 232 | 1098.25 254 | 1920.59 255 | 295.21 231 | 370.16 232 |
|
| MVSTER | | | 890.06 217 | 1005.91 226 | 542.52 219 | 736.13 242 | 653.90 240 | 2616.56 244 | 145.22 233 | 1692.10 243 | 555.69 231 | 1554.72 242 | 266.25 240 | 660.02 234 | 1219.66 245 | 266.84 228 | 313.64 226 |
|
| ACMP | | 1246.57 7 | 1086.24 227 | 1235.17 231 | 639.45 227 | 596.53 219 | 639.91 238 | 3904.24 250 | 152.04 234 | 1851.54 246 | 566.58 232 | 1997.95 248 | 138.50 207 | 938.30 242 | 1605.46 249 | 303.70 235 | 340.14 228 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PVSNet_0 | | 1661.03 9 | 968.54 220 | 1066.82 228 | 673.70 233 | 706.94 240 | 695.69 241 | 2669.02 245 | 153.52 235 | 2108.17 251 | 605.54 233 | 1679.14 243 | 213.26 237 | 886.75 241 | 1236.76 246 | 229.01 224 | 438.67 238 |
|
| ACMM | | 1311.08 8 | 1165.06 231 | 1332.72 234 | 662.07 231 | 584.90 217 | 715.99 243 | 4373.59 254 | 153.99 236 | 1880.27 247 | 709.02 242 | 2316.97 250 | 188.63 226 | 939.89 243 | 1484.30 248 | 302.78 234 | 330.34 227 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MG-MVS | | | 1256.50 233 | 1432.00 236 | 730.00 236 | 610.00 222 | 760.00 245 | 4720.00 255 | 169.00 237 | 1920.00 248 | 723.00 244 | 2510.00 256 | 201.00 231 | 1050.00 253 | 1645.00 251 | 390.00 239 | 380.00 234 |
|
| TSAR-MVS + GP. | | | 1386.84 235 | 1622.84 239 | 678.81 234 | 952.13 249 | 840.17 250 | 5358.21 258 | 170.75 238 | 2650.47 257 | 713.54 243 | 2394.28 254 | 209.42 236 | 855.56 239 | 1854.36 254 | 302.42 233 | 340.71 229 |
|
| CSCG | | | 826.03 213 | 963.29 218 | 414.24 205 | 421.52 211 | 426.11 214 | 2230.35 228 | 179.52 239 | 1827.44 245 | 733.43 245 | 933.12 213 | 281.25 241 | 545.23 217 | 1800.35 253 | 262.64 227 | 271.38 218 |
|
| Gipuma | | | 689.75 200 | 767.00 201 | 458.00 213 | 613.00 228 | 549.00 231 | 1943.00 226 | 187.00 240 | 1230.00 225 | 518.00 225 | 1092.00 224 | 203.00 233 | 564.00 218 | 892.00 222 | 225.00 223 | 261.00 217 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 237 | 1886.82 241 | 481.89 215 | 847.73 244 | 830.16 249 | 7943.84 274 | 189.23 241 | 2398.83 254 | 691.73 241 | 2341.13 251 | 209.16 235 | 230.25 184 | 1999.25 257 | 360.46 237 | 385.25 235 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| test_0402 | | | 1110.00 229 | 1260.00 232 | 660.00 229 | 900.00 248 | 780.00 247 | 3300.00 246 | 210.00 242 | 2040.00 250 | 690.00 240 | 1950.00 247 | 300.00 244 | 810.00 237 | 1620.00 250 | 330.00 236 | 390.00 236 |
|
| tpmvs | | | 501.65 189 | 567.42 191 | 304.33 195 | 395.39 208 | 356.32 208 | 1512.04 221 | 216.53 243 | 994.15 214 | 350.16 209 | 804.16 206 | 119.38 201 | 380.98 201 | 555.14 202 | 159.87 201 | 175.69 199 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 240 | 2224.88 244 | 1163.39 251 | 1253.91 259 | 1434.22 266 | 7065.71 264 | 272.76 244 | 2472.29 255 | 1647.54 289 | 3538.72 261 | 200.37 230 | 1496.48 260 | 2575.17 262 | 997.45 279 | 559.48 241 |
|
| PMVS | | 863.65 3 | 957.08 218 | 1054.11 227 | 666.00 232 | 401.00 210 | 495.00 218 | 3790.00 249 | 279.00 245 | 1607.00 242 | 521.00 226 | 1745.00 244 | 90.00 187 | 1105.00 255 | 639.00 211 | 415.00 240 | 398.00 237 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| DPM-MVS | | | 3268.00 260 | 3762.89 263 | 1783.33 270 | 1756.00 273 | 1806.00 286 | 12319.00 297 | 307.00 246 | 6319.00 288 | 1557.00 280 | 5763.00 281 | 302.00 245 | 2609.00 283 | 5061.00 286 | 482.00 241 | 935.00 271 |
|
| OPM-MVS | | | 3268.00 260 | 3762.89 263 | 1783.33 270 | 1756.00 273 | 1806.00 286 | 12319.00 297 | 307.00 246 | 6319.00 288 | 1557.00 280 | 5763.00 281 | 302.00 245 | 2609.00 283 | 5061.00 286 | 482.00 241 | 935.00 271 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| test_0728_SECOND | | | | | 1451.45 259 | 1725.60 268 | 1598.35 272 | 9203.30 281 | 315.86 248 | | | | | 2023.43 270 | 3973.88 275 | 620.04 246 | 732.56 251 |
|
| test0726 | | | | | | 1725.60 268 | 1598.35 272 | 9203.30 281 | 315.86 248 | 5016.02 277 | 1363.85 269 | 4894.28 275 | 387.23 254 | | | | |
|
| SD-MVS | | | 2654.53 252 | 3055.56 257 | 1451.45 259 | 1725.60 268 | 1598.35 272 | 9203.30 281 | 315.86 248 | 5016.02 277 | 1363.85 269 | 4894.28 275 | 387.23 254 | 2023.43 270 | 3973.88 275 | 620.04 246 | 732.56 251 |
| 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 |
| tpmrst | | | 2557.50 250 | 2847.12 253 | 1688.66 266 | 1784.08 276 | 1778.25 285 | 7445.50 271 | 342.14 251 | 4471.54 272 | 1534.55 276 | 4382.10 270 | 530.10 266 | 2361.21 277 | 4142.81 278 | 991.22 278 | 926.51 269 |
|
| DVP-MVS++ | | | 3981.10 270 | 4731.32 275 | 1730.42 268 | 2191.51 287 | 1949.98 290 | 16473.90 306 | 355.33 252 | 7172.90 299 | 1622.98 287 | 7879.79 297 | 434.33 257 | 2428.11 279 | 5762.12 289 | 689.04 251 | 813.18 257 |
|
| DVP-MVS | | | 3981.10 270 | 4731.32 275 | 1730.42 268 | 2191.51 287 | 1949.98 290 | 16473.90 306 | 355.33 252 | 7172.90 299 | 1622.98 287 | 7879.79 297 | 434.33 257 | 2428.11 279 | 5762.12 289 | 689.04 251 | 813.18 257 |
| 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 |
| COLMAP_ROB | | 2144.59 11 | 1658.33 238 | 1869.33 240 | 1025.33 248 | 1030.00 257 | 1023.00 262 | 5311.00 257 | 359.00 254 | 3044.00 258 | 937.00 249 | 2892.00 257 | 332.00 248 | 1440.00 259 | 2312.00 259 | 607.00 243 | 613.00 244 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| AdaColmap |  | | 2570.77 251 | 2948.61 254 | 1437.24 258 | 1873.64 277 | 1526.60 269 | 7819.77 272 | 373.97 255 | 4970.45 275 | 1479.29 274 | 4648.46 272 | 525.80 265 | 1904.97 268 | 4150.42 279 | 695.69 256 | 880.14 267 |
|
| tmp_tt | | | 371.08 174 | 412.78 175 | 246.00 185 | 231.00 183 | 197.00 186 | 1293.00 217 | 376.00 256 | 756.00 204 | 609.00 234 | 71.00 154 | 106.00 197 | 195.00 181 | 102.00 160 | 171.00 205 | 346.00 230 |
|
| ZD-MVS | | | | | | 1584.00 265 | 1821.00 288 | | 378.00 257 | 3721.00 263 | 1231.00 264 | 1833.00 245 | 321.00 247 | 1224.00 257 | 2103.00 258 | 692.00 254 | |
|
| MVS-HIRNet | | | 2125.39 242 | 2452.68 245 | 1143.53 250 | 2938.33 305 | 1446.92 267 | 6083.19 259 | 391.74 258 | 3801.71 264 | 1202.10 263 | 3439.72 259 | 492.73 262 | 1304.35 258 | 3048.25 266 | 676.32 249 | 679.32 250 |
|
| F-COLMAP | | | 1878.17 239 | 2113.11 242 | 1173.33 252 | 1231.00 258 | 1174.00 263 | 6297.00 260 | 392.00 259 | 3356.00 261 | 1087.00 259 | 3082.00 258 | 361.00 252 | 1670.00 261 | 2523.00 261 | 689.00 250 | 676.00 249 |
|
| OpenMVS | | 2352.88 13 | 2263.08 244 | 2530.89 247 | 1459.67 261 | 1767.00 275 | 1591.00 271 | 7932.00 273 | 399.00 260 | 3643.00 262 | 1176.00 262 | 3569.00 262 | 297.00 243 | 1927.00 269 | 3302.00 267 | 693.00 255 | 861.00 263 |
|
| CHOSEN 280x420 | | | 2340.81 246 | 2643.03 249 | 1434.14 255 | 2025.55 284 | 1629.36 275 | 6542.40 261 | 412.49 261 | 4219.70 268 | 1547.02 277 | 4328.52 267 | 650.74 278 | 1798.26 264 | 3333.17 268 | 727.72 257 | 874.79 264 |
|
| CHOSEN 1792x2688 | | | 2340.81 246 | 2643.03 249 | 1434.14 255 | 2025.55 284 | 1629.36 275 | 6542.40 261 | 412.49 261 | 4219.70 268 | 1547.02 277 | 4328.52 267 | 650.74 278 | 1798.26 264 | 3333.17 268 | 727.72 257 | 874.79 264 |
|
| HyFIR lowres test | | | 2340.81 246 | 2643.03 249 | 1434.14 255 | 2025.55 284 | 1629.36 275 | 6542.40 261 | 412.49 261 | 4219.70 268 | 1547.02 277 | 4328.52 267 | 650.74 278 | 1798.26 264 | 3333.17 268 | 727.72 257 | 874.79 264 |
|
| gg-mvs-nofinetune | | | 594.69 192 | 605.37 194 | 562.67 221 | 617.29 229 | 500.33 219 | 772.30 187 | 413.12 264 | 579.21 186 | 552.71 228 | 567.40 182 | 662.54 283 | 531.67 213 | 503.93 192 | 779.80 261 | 656.02 245 |
|
| TSAR-MVS + MP. | | | 3528.01 263 | 4065.89 270 | 1914.35 273 | 2349.10 290 | 2141.30 295 | 12362.70 299 | 417.60 265 | 6717.80 294 | 1759.40 291 | 6497.50 284 | 518.18 264 | 2629.38 286 | 5164.32 288 | 806.40 268 | 972.38 276 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| SteuartSystems-ACMMP | | | 2891.50 257 | 3284.78 260 | 1711.67 267 | 1954.00 278 | 1655.00 278 | 10117.00 294 | 445.00 266 | 5102.00 280 | 1375.00 273 | 5126.00 279 | 351.00 251 | 2638.00 287 | 4402.00 282 | 691.00 253 | 842.00 261 |
| Skip Steuart: Steuart Systems R&D Blog. |
| PCF-MVS | | 4335.85 20 | 2272.23 245 | 2597.03 248 | 1297.84 253 | 1701.20 267 | 1332.37 264 | 8105.11 275 | 451.45 267 | 4031.84 266 | 1099.10 260 | 3966.50 265 | 467.45 260 | 1734.05 263 | 2701.68 264 | 848.94 270 | 827.11 260 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| TAPA-MVS | | 6309.84 21 | 3374.90 262 | 3806.99 265 | 2078.63 279 | 2535.47 295 | 2499.25 304 | 8816.16 279 | 456.05 268 | 6255.60 287 | 1664.52 290 | 6704.88 286 | 629.95 276 | 2768.38 288 | 6343.93 300 | 856.35 271 | 968.25 275 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| LF4IMVS | | | 2699.50 254 | 3049.67 256 | 1649.00 265 | 1755.00 272 | 1689.00 279 | 8330.00 276 | 464.00 269 | 4997.00 276 | 1528.00 275 | 4763.00 274 | 568.00 269 | 2296.00 276 | 4215.00 280 | 827.00 269 | 962.00 274 |
|
| Vis-MVSNet | | | 2877.42 256 | 3170.00 259 | 1999.67 277 | 1673.00 266 | 2042.00 294 | 8593.00 278 | 474.00 270 | 6452.00 290 | 1268.00 267 | 5125.00 278 | 339.00 249 | 3004.00 291 | 4222.00 281 | 384.00 238 | 953.00 273 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| PLC | | 2858.82 16 | 2192.92 243 | 2474.00 246 | 1349.67 254 | 1407.00 263 | 1356.00 265 | 7164.00 265 | 475.00 271 | 3970.00 265 | 1237.00 266 | 3765.00 264 | 451.00 259 | 1891.00 267 | 3006.00 265 | 791.00 266 | 802.00 254 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| 3Dnovator | | 2482.06 14 | 2531.17 249 | 2839.56 252 | 1606.00 263 | 1732.00 271 | 1557.00 270 | 8375.00 277 | 483.00 272 | 4370.00 271 | 1371.00 272 | 4200.00 266 | 350.00 250 | 2207.00 274 | 3877.00 274 | 798.00 267 | 1054.00 284 |
|
| FOURS1 | | | | | | 2643.17 296 | 2465.14 299 | 13996.40 301 | 493.26 273 | 7619.38 302 | 2107.24 295 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 280 | 2643.17 296 | 2465.14 299 | | 493.26 273 | | | | | 3088.29 296 | 6075.14 296 | 1078.39 288 | 1159.26 286 |
|
| No_MVS | | | | | 2237.56 280 | 2643.17 296 | 2465.14 299 | | 493.26 273 | | | | | 3088.29 296 | 6075.14 296 | 1078.39 288 | 1159.26 286 |
|
| test_one_0601 | | | | | | 2643.17 296 | 2465.14 299 | | 493.26 273 | 7619.38 302 | 2107.24 295 | 7416.93 293 | 610.24 273 | | | | |
|
| SED-MVS | | | 4062.74 273 | 4671.13 274 | 2237.56 280 | 2643.17 296 | 2465.14 299 | 13996.40 301 | 493.26 273 | 7619.38 302 | 2107.24 295 | 7416.93 293 | 610.24 273 | 3088.29 296 | 6075.14 296 | 1078.39 288 | 1159.26 286 |
|
| FPMVS | | | 1407.00 236 | 1495.59 238 | 1141.23 249 | 648.01 238 | 893.85 252 | 4124.00 251 | 503.81 278 | 3219.04 259 | 742.72 246 | 2498.84 255 | 157.98 212 | 1727.83 262 | 832.93 220 | 732.98 260 | 802.00 254 |
|
| GG-mvs-BLEND | | | | | 596.01 224 | 611.29 225 | 600.33 233 | 790.30 188 | 513.12 279 | | 552.71 228 | 567.40 182 | 662.54 283 | 531.67 213 | 503.93 192 | 779.80 261 | 656.02 245 |
|
| CR-MVSNet | | | 612.36 194 | 617.81 197 | 596.01 224 | 611.29 225 | 600.33 233 | 790.30 188 | 513.12 279 | 579.21 186 | 552.71 228 | 567.40 182 | 662.54 283 | 531.67 213 | 503.93 192 | 779.80 261 | 656.02 245 |
|
| IU-MVS | | | | | | 2725.60 301 | 2598.35 305 | | 515.86 281 | 7016.02 295 | 2363.85 299 | | | | 5973.88 292 | 1620.04 300 | 1732.56 296 |
|
| test_241102_TWO | | | | | | | | | 515.86 281 | 7016.02 295 | 2363.85 299 | 6894.28 287 | 887.23 291 | 3023.43 292 | 5973.88 292 | 1620.04 300 | 1732.56 296 |
|
| test_241102_ONE | | | | | | 2725.60 301 | 2598.35 305 | | 515.86 281 | 7016.02 295 | 2363.85 299 | 6894.28 287 | 887.23 291 | 3023.43 292 | | | |
|
| MSP-MVS | | | 4296.20 274 | 4911.12 278 | 2451.45 288 | 2725.60 301 | 2598.35 305 | 16203.30 305 | 515.86 281 | 7016.02 295 | 2363.85 299 | 6894.28 287 | 887.23 291 | 3023.43 292 | 5973.88 292 | 1620.04 300 | 1732.56 296 |
| 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 |
| MVS_111021_HR | | | 3742.80 268 | 4330.34 271 | 1980.20 275 | 2484.31 293 | 2259.52 297 | 14973.80 304 | 515.90 285 | 6500.13 291 | 1949.21 294 | 6146.89 283 | 535.66 267 | 2593.66 282 | 4880.76 285 | 986.37 277 | 1087.43 285 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 253 | 3021.57 255 | 1618.12 264 | 2377.67 291 | 1751.39 284 | 8915.70 280 | 567.44 286 | 4569.74 273 | 1236.84 265 | 4615.63 271 | 513.23 263 | 2291.32 275 | 3515.48 271 | 882.39 272 | 811.66 256 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 259 | 3601.83 262 | 1814.72 272 | 2515.52 294 | 1941.53 289 | 10432.50 295 | 589.42 287 | 4789.45 274 | 1298.65 268 | 7677.31 296 | 578.35 270 | 2589.53 281 | 3611.78 273 | 923.52 275 | 913.10 268 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| RE-MVS-def | | | | 610.10 195 | | 610.10 223 | 610.10 236 | 610.10 181 | 610.10 288 | 610.10 192 | 610.10 235 | 610.10 188 | 610.10 271 | | 610.10 205 | 610.10 244 | 610.10 242 |
|
| SR-MVS | | | 610.10 193 | 610.10 195 | 610.10 226 | 610.10 223 | 610.10 236 | 610.10 181 | 610.10 288 | 610.10 192 | 610.10 235 | 610.10 188 | 610.10 271 | 610.10 229 | 610.10 205 | 610.10 244 | 610.10 242 |
|
| RPMNet | | | 787.26 211 | 829.13 204 | 661.63 230 | 885.90 245 | 895.90 253 | 455.98 179 | 610.10 288 | 1297.17 226 | 1002.26 257 | 1001.67 221 | 655.98 281 | 611.10 230 | 667.90 212 | 885.21 273 | 477.90 239 |
|
| 3Dnovator+ | | 3414.41 17 | 3146.67 258 | 3537.00 261 | 1975.67 274 | 2310.00 289 | 2005.00 293 | 10100.00 293 | 626.00 291 | 5753.00 281 | 1803.00 292 | 5179.00 280 | 487.00 261 | 2622.00 285 | 4550.00 283 | 1025.00 287 | 1300.00 291 |
|
| EGC-MVSNET | | | 2819.75 255 | 3096.89 258 | 1988.33 276 | 3105.00 306 | 2241.00 296 | 9480.00 285 | 640.00 292 | 4209.00 267 | 1583.00 282 | 4740.00 273 | 547.00 268 | 2797.00 289 | 2644.00 263 | 924.00 276 | 927.00 270 |
|
| JIA-IIPM | | | 804.30 212 | 835.64 205 | 710.26 235 | 885.90 245 | 895.90 253 | 455.98 179 | 668.73 293 | 1297.17 226 | 1002.26 257 | 1001.67 221 | 655.98 281 | 756.98 236 | 667.90 212 | 885.21 273 | 477.90 239 |
|
| ITE_SJBPF | | | | | 2014.00 278 | 1998.00 279 | 1992.00 292 | | 701.00 294 | 5989.00 282 | 1812.00 293 | 3612.00 263 | 650.00 277 | 2852.00 290 | 4601.00 284 | 1195.00 293 | 1198.00 290 |
|
| CLD-MVS | | | 7338.25 277 | 8341.00 280 | 4330.00 293 | 4902.00 309 | 4991.00 312 | 23318.00 309 | 728.00 295 | 14437.00 316 | 4378.00 308 | 13379.00 311 | 824.00 289 | 5708.00 307 | 11429.00 317 | 1674.00 304 | 2291.00 304 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| MAR-MVS | | | 3973.16 269 | 4387.92 272 | 2728.86 290 | 3345.27 307 | 3341.39 311 | 11403.90 296 | 798.76 296 | 6555.62 293 | 2569.29 304 | 6514.86 285 | 834.97 290 | 3237.43 300 | 5891.08 291 | 1577.54 299 | 1607.76 292 |
| 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 |
| OMC-MVS | | | 5022.26 276 | 5748.82 279 | 2842.58 292 | 4905.27 310 | 3101.27 309 | 14933.60 303 | 812.24 297 | 9278.40 306 | 2959.29 306 | 8800.17 303 | 1092.24 303 | 3806.30 302 | 7568.54 308 | 1389.60 298 | 1620.18 294 |
|
| CMPMVS | | 2623.62 15 | 1983.08 241 | 2156.14 243 | 1463.89 262 | 1414.80 264 | 1517.00 268 | 5239.20 256 | 867.40 298 | 3310.30 260 | 1128.70 261 | 3489.90 260 | 366.75 253 | 2030.20 273 | 2427.60 260 | 1160.60 292 | 844.46 262 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| tpm2 | | | 3617.85 264 | 4007.23 266 | 2449.73 284 | 2012.71 280 | 1698.05 280 | 7351.19 267 | 869.29 299 | 6132.06 283 | 1588.28 283 | 8007.42 299 | 1281.09 305 | 3888.11 303 | 7472.04 304 | 1351.00 294 | 1763.02 300 |
|
| tpm cat1 | | | 3617.85 264 | 4007.23 266 | 2449.73 284 | 2012.71 280 | 1698.05 280 | 7351.19 267 | 869.29 299 | 6132.06 283 | 1588.28 283 | 8007.42 299 | 1281.09 305 | 3888.11 303 | 7472.04 304 | 1351.00 294 | 1763.02 300 |
|
| CostFormer | | | 3617.85 264 | 4007.23 266 | 2449.73 284 | 2012.71 280 | 1698.05 280 | 7351.19 267 | 869.29 299 | 6132.06 283 | 1588.28 283 | 8007.42 299 | 1281.09 305 | 3888.11 303 | 7472.04 304 | 1351.00 294 | 1763.02 300 |
|
| tpm | | | 3617.85 264 | 4007.23 266 | 2449.73 284 | 2012.71 280 | 1698.05 280 | 7351.19 267 | 869.29 299 | 6132.06 283 | 1588.28 283 | 8007.42 299 | 1281.09 305 | 3888.11 303 | 7472.04 304 | 1351.00 294 | 1763.02 300 |
|
| API-MVS | | | 4380.83 275 | 4906.56 277 | 2803.67 291 | 3844.00 308 | 3116.00 310 | 13454.00 300 | 901.00 303 | 6511.00 292 | 2794.00 305 | 7365.00 292 | 754.00 287 | 3634.00 301 | 6622.00 301 | 1914.00 305 | 1661.00 295 |
|
| ambc | | | | | 999.00 241 | 999.00 250 | 999.00 255 | 999.00 200 | 999.00 304 | | 999.00 250 | 999.00 214 | 999.00 296 | 999.00 246 | 999.00 226 | 999.00 280 | 999.00 277 |
|
| OurMVSNet-221017-0 | | | 999.00 221 | 999.00 220 | 999.00 241 | 999.00 250 | 999.00 255 | 999.00 200 | 999.00 304 | 999.00 215 | 999.00 250 | 999.00 214 | 999.00 296 | 999.00 246 | 999.00 226 | 999.00 280 | 999.00 277 |
|
| EPMVS | | | 999.00 221 | 999.00 220 | 999.00 241 | 999.00 250 | 999.00 255 | 999.00 200 | 999.00 304 | 999.00 215 | 999.00 250 | 999.00 214 | 999.00 296 | 999.00 246 | 999.00 226 | 999.00 280 | 999.00 277 |
|
| uanet_test | | | 1000.00 223 | 1000.00 222 | 1000.00 244 | 1000.00 253 | 1000.00 258 | 1000.00 203 | 1000.00 307 | 1000.00 217 | 1000.00 253 | 1000.00 217 | 1000.00 299 | 1000.00 249 | 1000.00 229 | 1000.00 283 | 1000.00 280 |
|
| sosnet | | | 1000.00 223 | 1000.00 222 | 1000.00 244 | 1000.00 253 | 1000.00 258 | 1000.00 203 | 1000.00 307 | 1000.00 217 | 1000.00 253 | 1000.00 217 | 1000.00 299 | 1000.00 249 | 1000.00 229 | 1000.00 283 | 1000.00 280 |
|
| USDC | | | 1000.00 223 | 1000.00 222 | 1000.00 244 | 1000.00 253 | 1000.00 258 | 1000.00 203 | 1000.00 307 | 1000.00 217 | 1000.00 253 | 1000.00 217 | 1000.00 299 | 1000.00 249 | 1000.00 229 | 1000.00 283 | 1000.00 280 |
|
| TinyColmap | | | 1000.00 223 | 1000.00 222 | 1000.00 244 | 1000.00 253 | 1000.00 258 | 1000.00 203 | 1000.00 307 | 1000.00 217 | 1000.00 253 | 1000.00 217 | 1000.00 299 | 1000.00 249 | 1000.00 229 | 1000.00 283 | 1000.00 280 |
|
| Patchmtry | | | 1090.75 228 | 1198.88 230 | 766.38 239 | 1290.90 260 | 485.90 217 | 2423.98 239 | 1267.30 311 | 1297.17 226 | 923.90 247 | 923.40 212 | 1215.54 304 | 990.23 244 | 667.90 212 | 779.80 261 | 823.02 259 |
|
| PatchT | | | 856.34 215 | 860.99 208 | 842.38 240 | 1290.90 260 | 880.90 251 | 790.30 188 | 1267.30 311 | 579.21 186 | 923.90 247 | 567.40 182 | 662.54 283 | 990.23 244 | 887.56 221 | 779.80 261 | 656.02 245 |
|
| LS3D | | | 7684.71 278 | 8776.23 281 | 4410.16 294 | 5298.55 311 | 5631.53 313 | 34329.90 311 | 1504.57 313 | 11554.00 315 | 3896.41 307 | 15111.00 312 | 812.19 288 | 5985.63 308 | 3516.20 272 | 2963.23 307 | 1613.31 293 |
|
| CNLPA | | | 10738.67 287 | 11772.44 290 | 7637.33 295 | 9120.00 313 | 8206.00 314 | 22252.00 308 | 2010.00 314 | 24984.00 317 | 7458.00 310 | 22596.00 314 | 2940.00 310 | 10260.00 316 | 11100.00 316 | 3492.00 308 | 4446.00 306 |
|
| GST-MVS | | | 4000.00 272 | 4533.33 273 | 2400.00 283 | 2400.00 292 | 2400.00 298 | 7200.00 266 | 2400.00 315 | 7200.00 301 | 2400.00 303 | 7200.00 291 | 2400.00 309 | 2400.00 278 | 7200.00 302 | 2400.00 306 | 2400.00 305 |
|
| MVE | | 10021.00 22 | 10550.67 286 | 10002.44 289 | 12195.33 303 | 6242.00 312 | 8768.00 315 | 30896.00 310 | 4451.00 316 | 10331.00 314 | 6247.00 309 | 18296.00 313 | 283.00 242 | 21484.00 317 | 7364.00 303 | 5912.00 309 | 6334.00 307 |
| 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 | 23378.08 288 | 22805.00 291 | 25097.33 304 | 15500.00 321 | 19201.00 323 | 42712.00 312 | 6055.00 317 | 38388.00 318 | 16926.00 318 | 38534.00 315 | 7071.00 311 | 35653.00 318 | 29475.00 318 | 10584.00 317 | 20438.00 316 |
| 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 | | | 32606.17 289 | 34443.44 292 | 27094.33 305 | 29249.00 322 | 25246.00 324 | 51144.00 313 | 6705.00 318 | 42886.00 319 | 22888.00 319 | 48534.00 316 | 13263.00 319 | 37507.00 319 | 79298.00 319 | 16024.00 318 | 18530.00 315 |
|
| ZNCC-MVS | | | 9999.00 279 | 9999.00 282 | 9999.00 296 | 9999.00 314 | 9999.00 316 | 9999.00 286 | 9999.00 319 | 9999.00 307 | 9999.00 311 | 9999.00 304 | 9999.00 312 | 9999.00 309 | 9999.00 309 | 9999.00 310 | 9999.00 308 |
|
| patch_mono-2 | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| dcpmvs_2 | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| DCPMVS | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| UA-Net | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| uncertanet | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| uanet | | | 10000.00 280 | 10000.00 283 | 10000.00 297 | 10000.00 315 | 10000.00 317 | 10000.00 287 | 10000.00 320 | 10000.00 308 | 10000.00 312 | 10000.00 305 | 10000.00 313 | 10000.00 310 | 10000.00 310 | 10000.00 311 | 10000.00 309 |
|
| 114514_t | | | 99999.00 290 | 99999.00 293 | 99999.00 306 | 99999.00 323 | 99999.00 325 | 99999.00 314 | 99999.00 326 | 99999.00 320 | 99999.00 320 | 99999.00 317 | 99999.00 320 | 99999.00 320 | 99999.00 320 | 99999.00 319 | 99999.00 317 |
|
| PHI-MVS | | | 99999.00 290 | 99999.00 293 | 99999.00 306 | 99999.00 323 | 99999.00 325 | 99999.00 314 | 99999.00 326 | 99999.00 320 | 99999.00 320 | 99999.00 317 | 99999.00 320 | 99999.00 320 | 99999.00 320 | 99999.00 319 | 99999.00 317 |
|
| XVG-OURS-SEG-HR | | | 999999.00 294 | 999999.00 295 | 999999.00 308 | 999999.00 325 | 999999.00 327 | 999999.00 316 | 999999.00 328 | 999999.00 322 | 999999.00 322 | 999999.00 319 | 999999.00 322 | 999999.00 322 | 999999.00 322 | 999999.00 321 | 999999.00 319 |
|
| XVG-OURS | | | 999999.00 294 | 999999.00 295 | 999999.00 308 | 999999.00 325 | 999999.00 327 | 999999.00 316 | 999999.00 328 | 999999.00 322 | 999999.00 322 | 999999.00 319 | 999999.00 322 | 999999.00 322 | 999999.00 322 | 999999.00 321 | 999999.00 319 |
|
| XVG-ACMP-BASELINE | | | 999999.00 294 | 999999.00 295 | 999999.00 308 | 999999.00 325 | 999999.00 327 | 999999.00 316 | 999999.00 328 | 999999.00 322 | 999999.00 322 | 999999.00 319 | 999999.00 322 | 999999.00 322 | 999999.00 322 | 999999.00 321 | 999999.00 319 |
|
| MVSMamba_PlusPlus | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MGCFI-Net | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| sasdasda | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| dmvs_re | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| SDMVSNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| dmvs_testset | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| sd_testset | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| balanced_conf03 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MonoMVSNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test2506 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test1111 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| ECVR-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test_blank | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| tt0805 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Anonymous20240521 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| cl22 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| miper_ehance_all_eth | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| miper_enhance_ethall | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| cl____ | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| DIV-MVS_self_test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| eth_miper_zixun_eth | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| UniMVSNet_ETH3D | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| miper_lstm_enhance | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| D2MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test_yl | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| thisisatest0530 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Anonymous20240529 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Anonymous202405211 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| DCV-MVSNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| tttt0517 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| our_test_3 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| thisisatest0515 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| ppachtmachnet_test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| SMA-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| 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 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| tfpnnormal | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| tfpn200view9 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| c3_l | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| IterMVS-SCA-FT | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MTGPA | | | | | | | | | 10000000.00 331 | | | | | | | | |
|
| pmmvs6 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| pmmvs5 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Anonymous20231211 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| pmmvs-eth3d | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Anonymous20231206 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MTAPA | | | 833442.10 293 | 1111233.77 299 | 67.09 153 | 65.59 160 | 64.81 163 | 284.50 162 | 10000000.00 331 | 219.97 165 | 59.62 161 | 229.89 169 | 12.72 154 | 103.00 174 | 203.67 175 | 27.93 154 | 33.46 153 |
|
| MTMP | | | | | | | | 10000000.00 319 | 10000000.00 331 | | | | | | | | |
|
| SCA | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Patchmatch-test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Patchmatch-RL test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| canonicalmvs | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| anonymousdsp | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| FIs | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| FC-MVSNet-test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| sosnet-low-res | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| AllTest | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| TestCases | | | | | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| RRT-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| mamv4 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| HPM-MVS++ | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| XVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| pm-mvs1 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| X-MVStestdata | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| APDe-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| pmmvs4 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test-LLR | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| TESTMET0.1,1 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test-mter | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| testgi | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test20.03 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| thres600view7 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MP-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| thres400 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test123 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| thres200 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| test0.0.03 1 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| pmmvs3 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| EMVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| E-PMN | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PGM-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MCST-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| MVS_Test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PMMVS2 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PM-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| HQP_MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| plane_prior5 | | | | | | | | | 10000000.00 331 | | | | | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| mPP-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| mvsmamba | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| HPM-MVS_fast | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| HPM-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| LGP-MVS_train | | | | | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| EPNet_dtu | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP3-MVS | | | | | | | | | 10000000.00 331 | | | | | | | 10000000.00 324 | |
|
| CNVR-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| NCCC | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| CP-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| CPTT-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| HQP-MVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| IS-MVSNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PAPM_NR | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PAPR | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PatchMatch-RL | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| TDRefinement | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| EPP-MVSNet | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PMMVS | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| PAPM | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| ACMMP | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
| 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 | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| wuyk23d | | | 10000000.00 297 | 10000000.00 300 | 10000000.00 311 | 10000000.00 328 | 10000000.00 330 | 10000000.00 319 | 10000000.00 331 | 10000000.00 325 | 10000000.00 325 | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | 10000000.00 324 | 10000000.00 322 |
|
| APD-MVS | | | 1000000000.00 406 | 1000000000.00 409 | 1000000000.00 422 | 1000000000.00 447 | 1000000000.00 447 | 1000000000.00 433 | 1000000000.00 447 | 1000000000.00 440 | 1000000000.00 441 | 1000000000.00 438 | 1000000000.00 443 | 1000000000.00 441 | 1000000000.00 440 | 1000000000.00 439 | 1000000000.00 437 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 192 | | | | | | | | 422.23 185 | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 302 | 2107.24 295 | 7416.93 293 | 610.24 273 | 3088.29 296 | 6075.14 296 | 1078.39 288 | 1159.26 286 |
|
| eth-test2 | | | | | | 1.42 86 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 328 | | | | | | | | | | | |
|
| OPU-MVS | | | | | 2451.45 288 | 2725.60 301 | 2598.35 305 | 9203.30 281 | | | | 6894.28 287 | 887.23 291 | 3023.43 292 | 5973.88 292 | 1620.04 300 | 1732.56 296 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 277 | 1363.85 269 | 4894.28 275 | 387.23 254 | 2023.43 270 | 3973.88 275 | 620.04 246 | 732.56 251 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 322 |
|
| test_part2 | | | | | | 10000000.00 328 | 10000000.00 330 | | | | 10000000.00 325 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 325 | | | | 10000000.00 322 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 325 | | | | |
|
| test_post1 | | | | | | | | 10000000.00 319 | | | | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | 10000000.00 325 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 322 | 10000000.00 325 | 10000000.00 325 | | | |
|
| gm-plane-assit | | | | | | 611.29 225 | 600.33 233 | | | 579.21 186 | | 567.40 182 | | 531.67 213 | 503.93 192 | | |
|
| 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 | |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| 新几何2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 328 | 10000000.00 330 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 328 | 10000000.00 330 | | | | | | 10000000.00 325 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 322 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 330 | | | 10000000.00 325 | 10000000.00 325 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 319 | | 10000000.00 325 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 328 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 80 | 2.00 118 | | 2.00 119 | | | | | | 2.00 117 | |
|
| HQP5-MVS | | | | | | | 10000000.00 330 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 328 | | 10000000.00 319 | | 10000000.00 325 | 10000000.00 325 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 328 | | 10000000.00 319 | | 10000000.00 325 | 10000000.00 325 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 325 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 325 | | | 10000000.00 325 | | | 10000000.00 322 |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 325 | | | | |
|
| NP-MVS | | | | | | 10000000.00 328 | 10000000.00 330 | | | | | 10000000.00 322 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 140 | 9.99 138 | | 9.99 139 | 9.99 138 | | 9.99 140 | | 9.99 136 | | 9.99 139 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 324 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 324 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 295 | | | | |
|
