| fmvsm_s_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_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1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 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 39 | 0.30 40 | 0.30 44 | 0.30 51 | 0.30 51 | 0.30 51 | 0.30 52 | 0.30 51 | 0.30 50 | 0.30 48 | 0.30 50 | 0.30 51 | 0.30 49 | 0.30 49 | 0.30 49 |
|
| hse-mvs2 | | | 0.30 39 | 0.30 40 | 0.30 44 | 0.30 51 | 0.30 51 | 0.30 51 | 0.30 52 | 0.30 51 | 0.30 50 | 0.30 48 | 0.30 50 | 0.30 51 | 0.30 49 | 0.30 49 | 0.30 49 |
|
| CL-MVSNet_self_test | | | 0.30 39 | 0.30 40 | 0.30 44 | 0.30 51 | 0.30 51 | 0.30 51 | 0.30 52 | 0.30 51 | 0.30 50 | 0.30 48 | 0.30 50 | 0.30 51 | 0.30 49 | 0.30 49 | 0.30 49 |
|
| AUN-MVS | | | 0.30 39 | 0.30 40 | 0.30 44 | 0.30 51 | 0.30 51 | 0.30 51 | 0.30 52 | 0.30 51 | 0.30 50 | 0.30 48 | 0.30 50 | 0.30 51 | 0.30 49 | 0.30 49 | 0.30 49 |
|
| LCM-MVSNet | | | 0.37 43 | 0.36 44 | 0.37 48 | 0.37 55 | 0.37 55 | 0.37 55 | 0.32 56 | 0.37 55 | 0.37 54 | 0.37 52 | 0.37 54 | 0.37 55 | 0.37 53 | 0.37 53 | 0.37 53 |
|
| v144192 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v1921920 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v1192 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v1144 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v148 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v7n | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v1240 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v8 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v10 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| v2v482 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| V42 | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| GA-MVS | | | 0.40 44 | 0.40 45 | 0.40 49 | 0.40 56 | 0.40 56 | 0.40 56 | 0.40 58 | 0.40 56 | 0.40 55 | 0.40 53 | 0.40 55 | 0.40 56 | 0.40 54 | 0.40 54 | 0.40 54 |
|
| Fast-Effi-MVS+ | | | 0.41 56 | 0.40 45 | 0.41 61 | 0.41 68 | 0.41 68 | 0.41 68 | 0.35 57 | 0.41 68 | 0.41 67 | 0.41 65 | 0.41 67 | 0.41 68 | 0.41 66 | 0.41 66 | 0.41 66 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 57 | 0.44 58 | 0.44 62 | 0.44 69 | 0.44 69 | 0.44 69 | 0.44 70 | 0.44 69 | 0.44 68 | 0.44 66 | 0.44 68 | 0.44 69 | 0.44 67 | 0.44 67 | 0.44 67 |
|
| Effi-MVS+-dtu | | | 0.59 59 | 0.61 61 | 0.53 63 | 0.68 77 | 0.53 70 | 0.53 70 | 0.68 78 | 0.68 77 | 0.53 69 | 0.53 67 | 0.68 76 | 0.53 70 | 0.68 75 | 0.53 68 | 0.53 68 |
|
| KD-MVS_self_test | | | 0.60 60 | 0.60 60 | 0.60 64 | 0.60 71 | 0.60 71 | 0.60 72 | 0.60 72 | 0.60 71 | 0.60 70 | 0.60 68 | 0.60 70 | 0.60 71 | 0.60 68 | 0.60 70 | 0.60 69 |
|
| EIA-MVS | | | 0.62 61 | 0.62 62 | 0.62 65 | 0.62 72 | 0.62 72 | 0.62 73 | 0.62 73 | 0.62 72 | 0.62 71 | 0.62 69 | 0.62 71 | 0.62 72 | 0.62 69 | 0.62 71 | 0.62 70 |
|
| ETV-MVS | | | 0.62 61 | 0.62 62 | 0.62 65 | 0.62 72 | 0.62 72 | 0.62 73 | 0.62 73 | 0.62 72 | 0.62 71 | 0.62 69 | 0.62 71 | 0.62 72 | 0.62 69 | 0.62 71 | 0.62 70 |
|
| CS-MVS | | | 0.62 61 | 0.62 62 | 0.62 65 | 0.62 72 | 0.62 72 | 0.62 73 | 0.62 73 | 0.62 72 | 0.62 71 | 0.62 69 | 0.62 71 | 0.62 72 | 0.62 69 | 0.62 71 | 0.62 70 |
|
| SPE-MVS-test | | | 0.62 61 | 0.62 62 | 0.62 65 | 0.62 72 | 0.62 72 | 0.62 73 | 0.62 73 | 0.62 72 | 0.62 71 | 0.62 69 | 0.62 71 | 0.62 72 | 0.62 69 | 0.62 71 | 0.62 70 |
|
| Effi-MVS+ | | | 0.58 58 | 0.56 59 | 0.62 65 | 0.53 70 | 0.62 72 | 0.53 70 | 0.53 71 | 0.53 70 | 0.62 71 | 0.62 69 | 0.53 69 | 0.62 72 | 0.62 69 | 0.53 68 | 0.62 70 |
|
| EC-MVSNet | | | 0.62 61 | 0.62 62 | 0.62 65 | 0.62 72 | 0.62 72 | 0.62 73 | 0.62 73 | 0.62 72 | 0.62 71 | 0.62 69 | 0.62 71 | 0.62 72 | 0.62 69 | 0.62 71 | 0.62 70 |
|
| CDS-MVSNet | | | 0.88 66 | 0.88 67 | 0.88 71 | 0.88 78 | 0.88 78 | 0.88 78 | 0.88 79 | 0.88 78 | 0.88 77 | 0.88 75 | 0.88 77 | 0.88 78 | 0.88 76 | 0.88 76 | 0.88 76 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 66 | 0.88 67 | 0.88 71 | 0.88 78 | 0.88 78 | 0.88 78 | 0.88 79 | 0.88 78 | 0.88 77 | 0.88 75 | 0.88 77 | 0.88 78 | 0.88 76 | 0.88 76 | 0.88 76 |
|
| LCM-MVSNet-Re | | | 0.89 68 | 0.89 69 | 0.89 73 | 0.89 80 | 0.89 80 | 0.89 80 | 0.89 81 | 0.89 80 | 0.89 79 | 0.89 77 | 0.89 79 | 0.89 80 | 0.89 78 | 0.89 78 | 0.89 78 |
|
| DeepMVS_CX |  | | | | 1.00 74 | 1.00 81 | 1.00 81 | | 1.00 82 | 1.00 81 | 1.00 80 | 1.00 78 | 1.00 80 | 1.00 81 | 1.00 79 | 1.00 79 | 1.00 79 |
|
| MDA-MVSNet-bldmvs | | | 1.20 69 | 1.20 70 | 1.20 75 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 84 | 1.20 82 | 1.20 81 | 1.20 79 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 80 | 1.20 80 |
|
| YYNet1 | | | 1.20 69 | 1.20 70 | 1.20 75 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 84 | 1.20 82 | 1.20 81 | 1.20 79 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 80 | 1.20 80 |
|
| MDA-MVSNet_test_wron | | | 1.20 69 | 1.20 70 | 1.20 75 | 1.20 82 | 1.20 83 | 1.20 81 | 1.20 84 | 1.20 82 | 1.20 81 | 1.20 79 | 1.20 81 | 1.20 82 | 1.20 80 | 1.20 80 | 1.20 80 |
|
| KD-MVS_2432*1600 | | | 1.30 72 | 1.30 73 | 1.30 78 | 1.30 85 | 1.30 86 | 1.30 84 | 1.30 87 | 1.30 85 | 1.30 84 | 1.30 82 | 1.30 84 | 1.30 85 | 1.30 83 | 1.30 83 | 1.30 83 |
|
| miper_refine_blended | | | 1.30 72 | 1.30 73 | 1.30 78 | 1.30 85 | 1.30 86 | 1.30 84 | 1.30 87 | 1.30 85 | 1.30 84 | 1.30 82 | 1.30 84 | 1.30 85 | 1.30 83 | 1.30 83 | 1.30 83 |
|
| EI-MVSNet-UG-set | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| EI-MVSNet-Vis-set | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| EI-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| Regformer | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| CVMVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| EU-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| PS-CasMVS | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| PEN-MVS | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| TransMVSNet (Re) | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| DTE-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| DU-MVS | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| UniMVSNet (Re) | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| CP-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| WR-MVS_H | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| WR-MVS | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| NR-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| Baseline_NR-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| MVSFormer | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| jason | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
| jason: jason. |
| lupinMVS | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| test_djsdf | | | 1.42 74 | 1.42 75 | 1.42 80 | 1.42 87 | 1.42 88 | 1.42 86 | 1.42 89 | 1.42 87 | 1.42 86 | 1.42 84 | 1.42 86 | 1.42 87 | 1.42 85 | 1.42 85 | 1.42 85 |
|
| reproduce_monomvs | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| mmtdpeth | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| reproduce_model | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| reproduce-ours | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| our_new_method | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| mmdepth | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| monomultidepth | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| mvs5depth | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| MVStest1 | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| ttmdpeth | | | 1.48 97 | 1.48 98 | 1.48 103 | 1.48 111 | 1.48 111 | 1.48 109 | 1.48 114 | 1.48 110 | 1.48 109 | 1.48 107 | 1.48 109 | 1.48 110 | 1.48 108 | 1.48 108 | 1.48 108 |
|
| alignmvs | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| nrg030 | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| LFMVS | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| VDD-MVS | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| VDDNet | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| VPNet | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| VNet | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| VPA-MVSNet | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| cascas | | | 2.00 107 | 2.00 108 | 2.00 113 | 2.00 121 | 2.00 121 | 2.00 119 | 2.00 124 | 2.00 120 | 2.00 119 | 2.00 117 | 2.00 119 | 2.00 120 | 2.00 118 | 2.00 118 | 2.00 118 |
|
| UnsupCasMVSNet_eth | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| UnsupCasMVSNet_bld | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| WTY-MVS | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| HY-MVS | | 5.90 1 | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| sss | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| Test_1112_low_res | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| 1112_ss | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| ab-mvs-re | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| ab-mvs | | | 5.90 116 | 5.90 117 | 5.90 122 | 5.90 130 | 5.90 130 | 5.90 129 | 5.90 136 | 5.90 130 | 5.90 128 | 5.90 126 | 5.90 130 | 5.90 129 | 5.90 127 | 5.90 130 | 5.90 130 |
|
| CDPH-MVS | | | 6.66 125 | 6.66 126 | 6.66 131 | 6.66 139 | 6.66 139 | 6.66 138 | 6.66 145 | 6.66 139 | 6.66 137 | 6.66 135 | 6.66 139 | 6.66 138 | 6.66 136 | 6.66 139 | 6.66 139 |
|
| dp | | | 87.20 145 | 113.80 149 | 7.42 132 | 10.50 151 | 8.88 140 | 298.82 166 | 2.70 133 | 510.35 185 | 7.79 138 | 172.93 159 | 3.37 128 | 9.16 139 | 14.00 150 | 3.71 128 | 4.23 128 |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 141 | 9.99 139 | | 9.99 140 | 9.99 139 | | 9.99 141 | | 9.99 137 | | 9.99 140 |
|
| MDTV_nov1_ep13 | | | | 9.99 127 | | 9.99 140 | 9.99 141 | 9.99 139 | 9.99 147 | 9.99 140 | 9.99 139 | 9.99 136 | 9.99 141 | 9.99 140 | 9.99 137 | 9.99 141 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| xiu_mvs_v2_base | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| xiu_mvs_v1_base | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| xiu_mvs_v1_base_debi | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| cdsmvs_eth3d_5k | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| pcd_1.5k_mvsjas | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| PS-MVSNAJss | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| PS-MVSNAJ | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| jajsoiax | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| mvs_tets | | | 10.28 126 | 10.28 128 | 10.28 133 | 10.28 141 | 10.28 143 | 10.28 141 | 10.28 148 | 10.28 142 | 10.28 141 | 10.28 137 | 10.28 143 | 10.28 141 | 10.28 139 | 10.28 142 | 10.28 141 |
|
| test_method | | | 18.29 138 | 20.89 140 | 10.50 143 | 15.00 153 | 13.00 155 | 55.00 158 | 3.00 134 | 34.00 155 | 11.50 151 | 32.50 149 | 5.00 129 | 13.50 152 | 27.00 153 | 5.00 129 | 5.00 129 |
|
| SR-MVS-dyc-post | | | 11.55 136 | 11.55 138 | 11.55 145 | 11.55 152 | 11.55 154 | 11.55 151 | 11.55 160 | 11.55 152 | 11.55 152 | 11.55 147 | 11.55 154 | 11.55 151 | 11.55 149 | 11.55 152 | 11.55 151 |
|
| GeoE | | | 19.41 139 | 22.09 141 | 11.37 144 | 17.21 155 | 11.30 153 | 50.50 157 | 4.30 135 | 33.60 154 | 11.70 153 | 44.50 154 | 7.30 140 | 18.90 154 | 22.60 152 | 7.10 140 | 3.90 127 |
|
| XXY-MVS | | | 15.00 137 | 15.00 139 | 15.00 146 | 15.00 153 | 15.00 156 | 15.00 152 | 15.00 162 | 15.00 153 | 15.00 154 | 15.00 148 | 15.00 158 | 15.00 153 | 15.00 151 | 15.00 154 | 15.00 153 |
|
| GBi-Net | | | 44.67 144 | 49.24 146 | 30.96 147 | 47.53 160 | 47.57 161 | 126.09 159 | 8.00 146 | 76.99 160 | 26.09 155 | 73.50 156 | 11.27 153 | 30.55 155 | 61.12 158 | 12.58 153 | 14.75 152 |
|
| BH-w/o | | | 40.00 140 | 40.00 142 | 40.00 148 | 40.00 156 | 40.00 157 | 40.00 153 | 40.00 181 | 40.00 156 | 40.00 156 | 40.00 150 | 40.00 175 | 40.00 156 | 40.00 154 | 40.00 168 | 40.00 164 |
|
| BH-untuned | | | 40.00 140 | 40.00 142 | 40.00 148 | 40.00 156 | 40.00 157 | 40.00 153 | 40.00 181 | 40.00 156 | 40.00 156 | 40.00 150 | 40.00 175 | 40.00 156 | 40.00 154 | 40.00 168 | 40.00 164 |
|
| BH-RMVSNet | | | 40.00 140 | 40.00 142 | 40.00 148 | 40.00 156 | 40.00 157 | 40.00 153 | 40.00 181 | 40.00 156 | 40.00 156 | 40.00 150 | 40.00 175 | 40.00 156 | 40.00 154 | 40.00 168 | 40.00 164 |
|
| TR-MVS | | | 40.00 140 | 40.00 142 | 40.00 148 | 40.00 156 | 40.00 157 | 40.00 153 | 40.00 181 | 40.00 156 | 40.00 156 | 40.00 150 | 40.00 175 | 40.00 156 | 40.00 154 | 40.00 168 | 40.00 164 |
|
| new_pmnet | | | 88.14 146 | 98.62 147 | 56.70 152 | 98.14 167 | 56.07 162 | 246.79 161 | 15.37 163 | 148.06 161 | 50.77 160 | 143.13 157 | 23.35 159 | 62.65 160 | 93.26 159 | 68.71 178 | 51.38 174 |
|
| N_pmnet | | | 88.14 146 | 98.62 147 | 56.70 152 | 98.14 167 | 56.07 162 | 246.79 161 | 15.37 163 | 148.06 161 | 50.77 160 | 143.13 157 | 23.35 159 | 62.65 160 | 93.26 159 | 68.71 178 | 51.38 174 |
|
| MTAPA | | | 833442.10 294 | 1111233.77 300 | 67.09 154 | 65.59 161 | 64.81 164 | 284.50 163 | 10000000.00 332 | 219.97 166 | 59.62 162 | 229.89 170 | 12.72 155 | 103.00 175 | 203.67 176 | 27.93 155 | 33.46 154 |
|
| MP-MVS-pluss | | | 833433.63 293 | 1111219.60 299 | 75.70 158 | 74.28 162 | 73.29 165 | 284.50 163 | 11.35 158 | 238.58 167 | 65.86 163 | 255.35 175 | 14.55 156 | 115.69 177 | 10000000.00 326 | 31.94 156 | 38.12 162 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 151 | 133.18 153 | 75.70 158 | 74.28 162 | 73.29 165 | 284.50 163 | 11.35 158 | 238.58 167 | 65.86 163 | 255.35 175 | 14.55 156 | 115.69 177 | 222.18 177 | 31.94 156 | 38.12 162 |
|
| CANet | | | 110.62 148 | 124.04 150 | 70.34 155 | 82.03 164 | 74.27 167 | 325.54 167 | 25.25 166 | 207.16 163 | 69.28 165 | 194.38 160 | 27.53 161 | 95.79 169 | 147.76 163 | 37.43 158 | 40.97 168 |
|
| CANet_DTU | | | 110.62 148 | 124.04 150 | 70.34 155 | 82.03 164 | 74.27 167 | 325.54 167 | 25.25 166 | 207.16 163 | 69.28 165 | 194.38 160 | 27.53 161 | 95.79 169 | 147.76 163 | 37.43 158 | 40.97 168 |
|
| UGNet | | | 110.62 148 | 124.04 150 | 70.34 155 | 82.03 164 | 74.27 167 | 325.54 167 | 25.25 166 | 207.16 163 | 69.28 165 | 194.38 160 | 27.53 161 | 95.79 169 | 147.76 163 | 37.43 158 | 40.97 168 |
| 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 |
| FMVSNet5 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| test1 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| FMVSNet3 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| FMVSNet2 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| FMVSNet1 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| MIMVSNet1 | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| MIMVSNet | | | 124.76 152 | 140.93 154 | 76.26 160 | 107.44 170 | 100.17 174 | 329.88 170 | 27.12 172 | 259.44 172 | 74.30 168 | 204.34 163 | 30.74 164 | 92.41 162 | 196.98 166 | 38.15 161 | 36.19 155 |
|
| PVSNet_Blended_VisFu | | | 136.90 160 | 155.40 162 | 81.40 167 | 111.00 177 | 96.20 171 | 407.00 177 | 25.90 169 | 251.60 169 | 85.10 175 | 240.50 171 | 37.00 171 | 99.90 172 | 199.80 173 | 40.70 172 | 48.10 171 |
|
| PVSNet_BlendedMVS | | | 136.90 160 | 155.40 162 | 81.40 167 | 111.00 177 | 96.20 171 | 407.00 177 | 25.90 169 | 251.60 169 | 85.10 175 | 240.50 171 | 37.00 171 | 99.90 172 | 199.80 173 | 40.70 172 | 48.10 171 |
|
| PVSNet_Blended | | | 136.90 160 | 155.40 162 | 81.40 167 | 111.00 177 | 96.20 171 | 407.00 177 | 25.90 169 | 251.60 169 | 85.10 175 | 240.50 171 | 37.00 171 | 99.90 172 | 199.80 173 | 40.70 172 | 48.10 171 |
|
| DSMNet-mixed | | | 131.33 159 | 143.00 161 | 96.33 170 | 99.00 169 | 81.00 170 | 201.00 160 | 45.00 186 | 335.00 179 | 99.00 178 | 251.00 174 | 38.00 174 | 110.00 176 | 120.00 162 | 99.00 184 | 98.00 180 |
|
| BP-MVS1 | | | 202.65 163 | 232.15 165 | 114.16 171 | 183.40 181 | 141.78 181 | 655.87 185 | 24.69 165 | 372.56 180 | 109.76 179 | 356.89 177 | 47.15 179 | 139.51 179 | 284.15 179 | 54.86 175 | 61.20 176 |
|
| FE-MVS | | | 207.10 164 | 234.26 166 | 125.61 172 | 180.34 180 | 153.23 182 | 635.64 184 | 30.05 179 | 378.38 181 | 127.68 180 | 377.08 178 | 48.95 180 | 154.43 180 | 266.67 178 | 63.56 176 | 69.18 177 |
|
| GDP-MVS | | | 219.79 165 | 249.11 167 | 131.85 173 | 187.15 182 | 155.97 183 | 667.31 186 | 30.57 180 | 398.95 182 | 131.26 181 | 387.86 179 | 58.83 182 | 164.55 181 | 315.00 180 | 65.03 177 | 75.04 178 |
|
| FA-MVS(test-final) | | | 261.15 166 | 293.29 168 | 164.72 174 | 236.23 185 | 199.99 188 | 800.05 192 | 42.35 185 | 475.87 184 | 155.47 182 | 470.67 181 | 58.49 181 | 205.24 183 | 319.44 181 | 81.03 181 | 88.93 179 |
|
| kuosan | | | 267.89 168 | 301.05 170 | 168.41 175 | 244.05 186 | 177.28 184 | 667.98 187 | 65.76 188 | 533.41 186 | 157.79 183 | 492.01 182 | 104.69 197 | 226.72 184 | 364.47 184 | 79.31 180 | 101.21 182 |
|
| DP-MVS | | | 264.78 167 | 296.02 169 | 171.04 176 | 191.70 183 | 183.96 185 | 827.10 193 | 78.36 195 | 438.24 183 | 176.64 184 | 435.12 180 | 65.04 184 | 230.52 186 | 334.02 182 | 117.96 191 | 98.64 181 |
|
| SSC-MVS | | | 320.23 170 | 364.09 172 | 188.66 177 | 260.78 188 | 193.84 186 | 975.93 200 | 73.11 193 | 596.72 191 | 185.29 185 | 589.02 188 | 74.47 186 | 246.01 187 | 427.42 187 | 94.06 183 | 126.12 185 |
|
| WB-MVS | | | 316.44 169 | 357.41 171 | 193.51 178 | 257.06 187 | 213.32 190 | 914.45 194 | 49.03 187 | 600.77 192 | 186.42 186 | 634.00 193 | 75.03 187 | 251.35 188 | 411.39 185 | 88.55 182 | 115.87 184 |
|
| dongtai | | | 360.45 173 | 401.64 175 | 236.89 183 | 303.10 193 | 262.16 198 | 963.12 197 | 72.78 191 | 622.82 195 | 199.37 187 | 708.06 196 | 130.96 204 | 310.90 193 | 506.46 197 | 108.11 185 | 137.60 190 |
|
| testing3 | | | 418.10 181 | 469.06 183 | 265.23 190 | 335.69 197 | 290.63 201 | 1240.88 216 | 93.72 204 | 717.99 200 | 215.31 188 | 811.97 208 | 232.41 240 | 358.74 198 | 458.67 188 | 114.88 186 | 146.32 192 |
|
| testing11 | | | 348.86 172 | 393.09 174 | 216.15 179 | 275.24 190 | 239.53 191 | 915.55 195 | 72.35 190 | 679.89 198 | 215.75 189 | 633.79 192 | 118.08 201 | 276.62 189 | 509.56 198 | 117.61 190 | 132.30 186 |
|
| testing91 | | | 347.05 171 | 389.92 173 | 218.43 180 | 275.92 191 | 241.43 192 | 923.71 196 | 71.70 189 | 667.65 197 | 217.04 190 | 629.00 191 | 113.33 200 | 281.39 190 | 495.50 190 | 115.45 187 | 132.47 187 |
|
| WB-MVSnew | | | 404.84 179 | 458.00 181 | 245.36 185 | 374.70 202 | 320.27 204 | 1193.74 214 | 72.90 192 | 773.77 206 | 238.30 191 | 688.22 195 | 90.05 190 | 308.59 192 | 532.76 201 | 157.54 200 | 107.21 183 |
|
| EG-PatchMatch MVS | | | 437.03 183 | 493.12 187 | 268.77 191 | 264.80 189 | 260.20 197 | 1491.80 221 | 98.00 208 | 723.20 202 | 238.80 192 | 722.40 197 | 63.10 183 | 382.00 203 | 629.00 209 | 207.00 214 | 164.10 199 |
|
| RPSCF | | | 394.81 178 | 445.63 180 | 242.35 184 | 276.55 192 | 253.63 194 | 1207.27 215 | 90.69 203 | 715.56 199 | 241.57 193 | 684.87 194 | 111.96 199 | 320.02 194 | 548.38 202 | 133.81 192 | 153.39 195 |
|
| UWE-MVS | | | 387.98 176 | 438.66 179 | 235.93 181 | 349.32 199 | 257.61 196 | 1081.50 208 | 82.45 199 | 637.74 196 | 257.12 194 | 738.54 198 | 134.25 205 | 308.00 191 | 531.93 200 | 135.11 193 | 142.17 191 |
|
| testing99 | | | 408.82 180 | 462.15 182 | 248.86 187 | 322.45 196 | 269.42 199 | 1118.93 211 | 73.26 194 | 719.36 201 | 262.28 195 | 772.10 199 | 150.98 210 | 327.08 195 | 601.98 205 | 137.99 194 | 150.07 193 |
|
| Syy-MVS | | | 370.76 174 | 415.60 177 | 236.25 182 | 310.54 194 | 210.76 189 | 965.13 198 | 98.58 209 | 746.06 203 | 266.26 196 | 788.85 202 | 91.37 191 | 364.76 199 | 357.17 183 | 116.42 188 | 133.22 188 |
|
| myMVS_eth3d | | | 390.90 177 | 437.44 178 | 251.28 188 | 310.54 194 | 255.86 195 | 965.13 198 | 98.58 209 | 746.06 203 | 266.26 196 | 788.85 202 | 154.95 211 | 364.76 199 | 490.19 189 | 116.42 188 | 133.22 188 |
|
| ETVMVS | | | 443.50 186 | 498.07 188 | 279.78 192 | 378.05 205 | 321.57 205 | 1163.68 213 | 87.12 200 | 897.50 213 | 269.81 198 | 822.83 209 | 141.20 209 | 334.53 197 | 568.21 204 | 154.21 196 | 183.26 203 |
|
| testing222 | | | 430.52 182 | 487.50 186 | 259.56 189 | 379.87 206 | 282.69 200 | 1138.34 212 | 81.30 197 | 880.86 210 | 281.58 199 | 834.27 210 | 135.83 207 | 333.22 196 | 514.90 199 | 140.56 195 | 162.76 196 |
|
| ADS-MVSNet2 | | | 443.33 184 | 482.84 184 | 324.79 201 | 434.94 214 | 387.73 212 | 1110.57 209 | 87.69 201 | 887.02 211 | 282.92 200 | 779.29 200 | 98.57 195 | 422.76 210 | 502.40 191 | 162.19 204 | 163.87 197 |
|
| ADS-MVSNet | | | 443.33 184 | 482.84 184 | 324.79 201 | 434.94 214 | 387.73 212 | 1110.57 209 | 87.69 201 | 887.02 211 | 282.92 200 | 779.29 200 | 98.57 195 | 422.76 210 | 502.40 191 | 162.19 204 | 163.87 197 |
|
| DP-MVS Recon | | | 516.25 192 | 581.17 193 | 321.48 200 | 361.02 200 | 429.00 216 | 1995.36 228 | 78.48 196 | 796.20 207 | 283.32 202 | 796.02 204 | 96.78 192 | 382.98 204 | 636.72 211 | 186.66 211 | 152.46 194 |
|
| MVP-Stereo | | | 473.58 187 | 533.67 189 | 293.33 193 | 376.00 203 | 318.00 202 | 1461.00 219 | 96.00 205 | 835.00 208 | 290.00 203 | 804.00 205 | 97.00 193 | 383.00 205 | 688.00 216 | 156.00 197 | 179.00 201 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 187 | 533.67 189 | 293.33 193 | 376.00 203 | 318.00 202 | 1461.00 219 | 96.00 205 | 835.00 208 | 290.00 203 | 804.00 205 | 97.00 193 | 383.00 205 | 688.00 216 | 156.00 197 | 179.00 201 |
|
| WBMVS | | | 655.88 198 | 770.84 203 | 310.98 198 | 391.79 208 | 353.00 208 | 2280.68 230 | 99.17 212 | 1776.79 245 | 301.20 205 | 1123.23 227 | 187.34 226 | 390.28 207 | 620.39 208 | 156.98 199 | 189.66 205 |
|
| PatchmatchNet |  | | 492.52 189 | 551.22 191 | 316.40 199 | 400.20 210 | 357.90 210 | 1277.10 217 | 115.80 216 | 1034.60 222 | 315.90 206 | 874.00 211 | 155.10 212 | 402.20 208 | 629.50 210 | 158.80 201 | 189.10 204 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| UBG | | | 667.82 200 | 787.71 204 | 308.16 197 | 385.94 207 | 327.65 206 | 1718.51 224 | 117.00 218 | 1942.46 250 | 317.12 207 | 1488.73 241 | 183.89 218 | 404.82 209 | 763.70 218 | 172.02 207 | 192.01 207 |
|
| DELS-MVS | | | 514.57 191 | 587.73 194 | 295.12 195 | 343.03 198 | 328.09 207 | 1540.48 223 | 116.22 217 | 988.59 214 | 325.44 208 | 906.22 212 | 119.86 203 | 365.72 201 | 788.60 219 | 161.09 203 | 191.55 206 |
| 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 |
| ACMH+ | | 729.97 2 | 661.38 199 | 754.00 201 | 383.51 204 | 368.96 201 | 376.38 211 | 2483.74 242 | 82.42 198 | 1089.25 223 | 333.39 209 | 1219.68 228 | 66.53 185 | 573.60 227 | 957.86 225 | 184.14 210 | 200.56 208 |
|
| tpmvs | | | 501.65 190 | 567.42 192 | 304.33 196 | 395.39 209 | 356.32 209 | 1512.04 222 | 216.53 244 | 994.15 215 | 350.16 210 | 804.16 207 | 119.38 202 | 380.98 202 | 555.14 203 | 159.87 202 | 175.69 200 |
|
| IterMVS | | | 615.05 196 | 691.66 199 | 385.23 205 | 516.40 217 | 454.80 217 | 1863.80 226 | 102.10 213 | 1142.20 224 | 364.10 211 | 1093.20 226 | 135.00 206 | 480.40 213 | 826.90 220 | 181.20 208 | 220.50 209 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 197 | 700.96 200 | 362.78 203 | 426.10 213 | 409.25 214 | 1822.69 225 | 124.42 227 | 1186.23 225 | 366.85 212 | 1079.42 224 | 190.60 228 | 451.78 212 | 930.72 224 | 181.59 209 | 227.30 210 |
| 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 |
| new-patchmatchnet | | | 766.12 203 | 859.03 208 | 487.38 218 | 595.68 219 | 536.14 222 | 2346.27 232 | 142.51 232 | 1488.08 232 | 422.43 213 | 1361.32 232 | 163.65 215 | 628.60 232 | 1003.74 234 | 207.61 215 | 297.41 224 |
|
| SixPastTwentyTwo | | | 773.62 204 | 869.37 210 | 486.35 217 | 603.45 221 | 547.15 231 | 2532.14 243 | 106.92 215 | 1434.95 231 | 428.08 214 | 1360.56 231 | 165.15 216 | 628.96 233 | 984.09 226 | 209.01 216 | 282.94 221 |
|
| lessismore_v0 | | | | | 569.20 223 | 667.25 240 | 644.68 240 | | 96.45 207 | | 428.86 215 | 1514.17 242 | 204.21 235 | 756.58 236 | 1061.60 236 | 197.79 213 | 306.34 225 |
|
| IterMVS-LS | | | 758.94 202 | 856.56 207 | 466.10 215 | 606.60 222 | 546.80 230 | 2309.90 231 | 122.20 226 | 1402.80 230 | 463.50 216 | 1348.20 230 | 192.60 229 | 574.60 228 | 1028.60 235 | 234.60 226 | 276.90 220 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| mvs_anonymous | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
|
| casdiffmvs | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
| 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 | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
| 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 | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
|
| baseline1 | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
|
| casdiffmvs_mvg | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
| 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 | | | 774.90 205 | 882.28 211 | 452.77 207 | 636.50 231 | 537.20 223 | 2348.80 233 | 120.30 219 | 1504.30 233 | 474.40 217 | 1371.10 233 | 186.90 219 | 564.70 220 | 1078.90 237 | 219.30 217 | 256.40 211 |
|
| ACMH | | 993.80 5 | 967.92 220 | 1106.11 230 | 553.33 221 | 494.00 216 | 534.00 221 | 3581.00 248 | 136.00 229 | 1585.00 242 | 478.00 224 | 1871.00 247 | 90.00 188 | 839.00 239 | 1460.00 248 | 260.00 227 | 287.00 222 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet | | 1207.94 6 | 829.56 215 | 937.18 218 | 506.69 219 | 645.55 238 | 585.72 233 | 2477.98 241 | 130.52 228 | 1578.29 241 | 509.50 225 | 1460.01 240 | 194.90 230 | 637.19 234 | 1170.78 245 | 267.07 230 | 297.17 223 |
|
| Gipuma | | | 689.75 201 | 767.00 202 | 458.00 214 | 613.00 229 | 549.00 232 | 1943.00 227 | 187.00 241 | 1230.00 226 | 518.00 226 | 1092.00 225 | 203.00 234 | 564.00 219 | 892.00 223 | 225.00 224 | 261.00 218 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS | | 863.65 3 | 957.08 219 | 1054.11 228 | 666.00 233 | 401.00 211 | 495.00 219 | 3790.00 250 | 279.00 246 | 1607.00 243 | 521.00 227 | 1745.00 245 | 90.00 188 | 1105.00 256 | 639.00 212 | 415.00 241 | 398.00 238 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| K. test v3 | | | 877.74 217 | 980.16 220 | 570.46 224 | 1316.85 263 | 813.15 249 | 2565.52 244 | 103.78 214 | 1509.49 240 | 548.33 228 | 1258.90 229 | 219.93 239 | 587.82 229 | 1102.37 244 | 196.30 212 | 310.42 226 |
|
| GG-mvs-BLEND | | | | | 596.01 225 | 611.29 226 | 600.33 234 | 790.30 189 | 513.12 280 | | 552.71 229 | 567.40 183 | 662.54 284 | 531.67 214 | 503.93 193 | 779.80 262 | 656.02 246 |
|
| gg-mvs-nofinetune | | | 594.69 193 | 605.37 195 | 562.67 222 | 617.29 230 | 500.33 220 | 772.30 188 | 413.12 265 | 579.21 187 | 552.71 229 | 567.40 183 | 662.54 284 | 531.67 214 | 503.93 193 | 779.80 262 | 656.02 246 |
|
| CR-MVSNet | | | 612.36 195 | 617.81 198 | 596.01 225 | 611.29 226 | 600.33 234 | 790.30 189 | 513.12 280 | 579.21 187 | 552.71 229 | 567.40 183 | 662.54 284 | 531.67 214 | 503.93 193 | 779.80 262 | 656.02 246 |
|
| MVSTER | | | 890.06 218 | 1005.91 227 | 542.52 220 | 736.13 243 | 653.90 241 | 2616.56 245 | 145.22 234 | 1692.10 244 | 555.69 232 | 1554.72 243 | 266.25 241 | 660.02 235 | 1219.66 246 | 266.84 229 | 313.64 227 |
|
| ACMP | | 1246.57 7 | 1086.24 228 | 1235.17 232 | 639.45 228 | 596.53 220 | 639.91 239 | 3904.24 251 | 152.04 235 | 1851.54 247 | 566.58 233 | 1997.95 249 | 138.50 208 | 938.30 243 | 1605.46 250 | 303.70 236 | 340.14 229 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PVSNet_0 | | 1661.03 9 | 968.54 221 | 1066.82 229 | 673.70 234 | 706.94 241 | 695.69 242 | 2669.02 246 | 153.52 236 | 2108.17 252 | 605.54 234 | 1679.14 244 | 213.26 238 | 886.75 242 | 1236.76 247 | 229.01 225 | 438.67 239 |
|
| tmp_tt | | | 371.08 175 | 412.78 176 | 246.00 186 | 231.00 184 | 197.00 187 | 1293.00 218 | 376.00 257 | 756.00 205 | 609.00 235 | 71.00 155 | 106.00 198 | 195.00 182 | 102.00 161 | 171.00 206 | 346.00 231 |
|
| RE-MVS-def | | | | 610.10 196 | | 610.10 224 | 610.10 237 | 610.10 182 | 610.10 289 | 610.10 193 | 610.10 236 | 610.10 189 | 610.10 272 | | 610.10 206 | 610.10 245 | 610.10 243 |
|
| SR-MVS | | | 610.10 194 | 610.10 196 | 610.10 227 | 610.10 224 | 610.10 237 | 610.10 182 | 610.10 289 | 610.10 193 | 610.10 236 | 610.10 189 | 610.10 272 | 610.10 230 | 610.10 206 | 610.10 245 | 610.10 243 |
|
| MSLP-MVS++ | | | 1242.93 233 | 1411.08 236 | 738.48 238 | 712.71 242 | 712.68 243 | 4168.17 253 | 136.50 230 | 2276.40 254 | 613.28 238 | 2368.60 254 | 161.61 214 | 1130.38 257 | 1964.54 257 | 297.88 233 | 372.39 234 |
|
| MVS_111021_LR | | | 1136.45 231 | 1298.72 234 | 649.64 229 | 756.17 244 | 726.26 245 | 3785.94 249 | 138.15 231 | 2190.64 253 | 629.63 239 | 2064.39 250 | 165.45 217 | 874.83 241 | 1678.43 253 | 279.70 231 | 347.82 232 |
|
| ACMMPR | | | 1296.60 235 | 1480.82 238 | 743.96 239 | 899.25 248 | 763.47 247 | 4305.47 254 | 143.90 233 | 2530.94 257 | 683.99 240 | 2346.34 253 | 201.65 233 | 1098.25 255 | 1920.59 256 | 295.21 232 | 370.16 233 |
|
| test_0402 | | | 1110.00 230 | 1260.00 233 | 660.00 230 | 900.00 249 | 780.00 248 | 3300.00 247 | 210.00 243 | 2040.00 251 | 690.00 241 | 1950.00 248 | 300.00 245 | 810.00 238 | 1620.00 251 | 330.00 237 | 390.00 237 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 238 | 1886.82 242 | 481.89 216 | 847.73 245 | 830.16 250 | 7943.84 275 | 189.23 242 | 2398.83 255 | 691.73 242 | 2341.13 252 | 209.16 236 | 230.25 185 | 1999.25 258 | 360.46 238 | 385.25 236 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| ACMM | | 1311.08 8 | 1165.06 232 | 1332.72 235 | 662.07 232 | 584.90 218 | 715.99 244 | 4373.59 255 | 153.99 237 | 1880.27 248 | 709.02 243 | 2316.97 251 | 188.63 227 | 939.89 244 | 1484.30 249 | 302.78 235 | 330.34 228 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 236 | 1622.84 240 | 678.81 235 | 952.13 250 | 840.17 251 | 5358.21 259 | 170.75 239 | 2650.47 258 | 713.54 244 | 2394.28 255 | 209.42 237 | 855.56 240 | 1854.36 255 | 302.42 234 | 340.71 230 |
|
| MG-MVS | | | 1256.50 234 | 1432.00 237 | 730.00 237 | 610.00 223 | 760.00 246 | 4720.00 256 | 169.00 238 | 1920.00 249 | 723.00 245 | 2510.00 257 | 201.00 232 | 1050.00 254 | 1645.00 252 | 390.00 240 | 380.00 235 |
|
| CSCG | | | 826.03 214 | 963.29 219 | 414.24 206 | 421.52 212 | 426.11 215 | 2230.35 229 | 179.52 240 | 1827.44 246 | 733.43 246 | 933.12 214 | 281.25 242 | 545.23 218 | 1800.35 254 | 262.64 228 | 271.38 219 |
|
| FPMVS | | | 1407.00 237 | 1495.59 239 | 1141.23 250 | 648.01 239 | 893.85 253 | 4124.00 252 | 503.81 279 | 3219.04 260 | 742.72 247 | 2498.84 256 | 157.98 213 | 1727.83 263 | 832.93 221 | 732.98 261 | 802.00 255 |
|
| Patchmtry | | | 1090.75 229 | 1198.88 231 | 766.38 240 | 1290.90 261 | 485.90 218 | 2423.98 240 | 1267.30 312 | 1297.17 227 | 923.90 248 | 923.40 213 | 1215.54 305 | 990.23 245 | 667.90 213 | 779.80 262 | 823.02 260 |
|
| PatchT | | | 856.34 216 | 860.99 209 | 842.38 241 | 1290.90 261 | 880.90 252 | 790.30 189 | 1267.30 312 | 579.21 187 | 923.90 248 | 567.40 183 | 662.54 284 | 990.23 245 | 887.56 222 | 779.80 262 | 656.02 246 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 239 | 1869.33 241 | 1025.33 249 | 1030.00 258 | 1023.00 263 | 5311.00 258 | 359.00 255 | 3044.00 259 | 937.00 250 | 2892.00 258 | 332.00 249 | 1440.00 260 | 2312.00 260 | 607.00 244 | 613.00 245 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| ambc | | | | | 999.00 242 | 999.00 251 | 999.00 256 | 999.00 201 | 999.00 305 | | 999.00 251 | 999.00 215 | 999.00 297 | 999.00 247 | 999.00 227 | 999.00 281 | 999.00 278 |
|
| OurMVSNet-221017-0 | | | 999.00 222 | 999.00 221 | 999.00 242 | 999.00 251 | 999.00 256 | 999.00 201 | 999.00 305 | 999.00 216 | 999.00 251 | 999.00 215 | 999.00 297 | 999.00 247 | 999.00 227 | 999.00 281 | 999.00 278 |
|
| EPMVS | | | 999.00 222 | 999.00 221 | 999.00 242 | 999.00 251 | 999.00 256 | 999.00 201 | 999.00 305 | 999.00 216 | 999.00 251 | 999.00 215 | 999.00 297 | 999.00 247 | 999.00 227 | 999.00 281 | 999.00 278 |
|
| uanet_test | | | 1000.00 224 | 1000.00 223 | 1000.00 245 | 1000.00 254 | 1000.00 259 | 1000.00 204 | 1000.00 308 | 1000.00 218 | 1000.00 254 | 1000.00 218 | 1000.00 300 | 1000.00 250 | 1000.00 230 | 1000.00 284 | 1000.00 281 |
|
| sosnet | | | 1000.00 224 | 1000.00 223 | 1000.00 245 | 1000.00 254 | 1000.00 259 | 1000.00 204 | 1000.00 308 | 1000.00 218 | 1000.00 254 | 1000.00 218 | 1000.00 300 | 1000.00 250 | 1000.00 230 | 1000.00 284 | 1000.00 281 |
|
| USDC | | | 1000.00 224 | 1000.00 223 | 1000.00 245 | 1000.00 254 | 1000.00 259 | 1000.00 204 | 1000.00 308 | 1000.00 218 | 1000.00 254 | 1000.00 218 | 1000.00 300 | 1000.00 250 | 1000.00 230 | 1000.00 284 | 1000.00 281 |
|
| TinyColmap | | | 1000.00 224 | 1000.00 223 | 1000.00 245 | 1000.00 254 | 1000.00 259 | 1000.00 204 | 1000.00 308 | 1000.00 218 | 1000.00 254 | 1000.00 218 | 1000.00 300 | 1000.00 250 | 1000.00 230 | 1000.00 284 | 1000.00 281 |
|
| JIA-IIPM | | | 804.30 213 | 835.64 206 | 710.26 236 | 885.90 246 | 895.90 254 | 455.98 180 | 668.73 294 | 1297.17 227 | 1002.26 258 | 1001.67 222 | 655.98 282 | 756.98 237 | 667.90 213 | 885.21 274 | 477.90 240 |
|
| RPMNet | | | 787.26 212 | 829.13 205 | 661.63 231 | 885.90 246 | 895.90 254 | 455.98 180 | 610.10 289 | 1297.17 227 | 1002.26 258 | 1001.67 222 | 655.98 282 | 611.10 231 | 667.90 213 | 885.21 274 | 477.90 240 |
|
| F-COLMAP | | | 1878.17 240 | 2113.11 243 | 1173.33 253 | 1231.00 259 | 1174.00 264 | 6297.00 261 | 392.00 260 | 3356.00 262 | 1087.00 260 | 3082.00 259 | 361.00 253 | 1670.00 262 | 2523.00 262 | 689.00 251 | 676.00 250 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 246 | 2597.03 249 | 1297.84 254 | 1701.20 268 | 1332.37 265 | 8105.11 276 | 451.45 268 | 4031.84 267 | 1099.10 261 | 3966.50 266 | 467.45 261 | 1734.05 264 | 2701.68 265 | 848.94 271 | 827.11 261 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CMPMVS |  | 2623.62 15 | 1983.08 242 | 2156.14 244 | 1463.89 263 | 1414.80 265 | 1517.00 269 | 5239.20 257 | 867.40 299 | 3310.30 261 | 1128.70 262 | 3489.90 261 | 366.75 254 | 2030.20 274 | 2427.60 261 | 1160.60 293 | 844.46 263 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| OpenMVS | | 2352.88 13 | 2263.08 245 | 2530.89 248 | 1459.67 262 | 1767.00 276 | 1591.00 272 | 7932.00 274 | 399.00 261 | 3643.00 263 | 1176.00 263 | 3569.00 263 | 297.00 244 | 1927.00 270 | 3302.00 268 | 693.00 256 | 861.00 264 |
|
| MVS-HIRNet | | | 2125.39 243 | 2452.68 246 | 1143.53 251 | 2938.33 306 | 1446.92 268 | 6083.19 260 | 391.74 259 | 3801.71 265 | 1202.10 264 | 3439.72 260 | 492.73 263 | 1304.35 259 | 3048.25 267 | 676.32 250 | 679.32 251 |
|
| ZD-MVS | | | | | | 1584.00 266 | 1821.00 289 | | 378.00 258 | 3721.00 264 | 1231.00 265 | 1833.00 246 | 321.00 248 | 1224.00 258 | 2103.00 259 | 692.00 255 | |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 254 | 3021.57 256 | 1618.12 265 | 2377.67 292 | 1751.39 285 | 8915.70 281 | 567.44 287 | 4569.74 274 | 1236.84 266 | 4615.63 272 | 513.23 264 | 2291.32 276 | 3515.48 272 | 882.39 273 | 811.66 257 |
|
| PLC | | 2858.82 16 | 2192.92 244 | 2474.00 247 | 1349.67 255 | 1407.00 264 | 1356.00 266 | 7164.00 266 | 475.00 272 | 3970.00 266 | 1237.00 267 | 3765.00 265 | 451.00 260 | 1891.00 268 | 3006.00 266 | 791.00 267 | 802.00 255 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| Vis-MVSNet | | | 2877.42 257 | 3170.00 260 | 1999.67 278 | 1673.00 267 | 2042.00 295 | 8593.00 279 | 474.00 271 | 6452.00 291 | 1268.00 268 | 5125.00 279 | 339.00 250 | 3004.00 292 | 4222.00 282 | 384.00 239 | 953.00 274 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| DeepC-MVS | | 3917.13 19 | 3155.06 260 | 3601.83 263 | 1814.72 273 | 2515.52 295 | 1941.53 290 | 10432.50 296 | 589.42 288 | 4789.45 275 | 1298.65 269 | 7677.31 297 | 578.35 271 | 2589.53 282 | 3611.78 274 | 923.52 276 | 913.10 269 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| test_0728_THIRD | | | | | | | | | | 5016.02 278 | 1363.85 270 | 4894.28 276 | 387.23 255 | 2023.43 271 | 3973.88 276 | 620.04 247 | 732.56 252 |
|
| test0726 | | | | | | 1725.60 269 | 1598.35 273 | 9203.30 282 | 315.86 249 | 5016.02 278 | 1363.85 270 | 4894.28 276 | 387.23 255 | | | | |
|
| SD-MVS | | | 2654.53 253 | 3055.56 258 | 1451.45 260 | 1725.60 269 | 1598.35 273 | 9203.30 282 | 315.86 249 | 5016.02 278 | 1363.85 270 | 4894.28 276 | 387.23 255 | 2023.43 271 | 3973.88 276 | 620.04 247 | 732.56 252 |
| 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 |
| 3Dnovator | | 2482.06 14 | 2531.17 250 | 2839.56 253 | 1606.00 264 | 1732.00 272 | 1557.00 271 | 8375.00 278 | 483.00 273 | 4370.00 272 | 1371.00 273 | 4200.00 267 | 350.00 251 | 2207.00 275 | 3877.00 275 | 798.00 268 | 1054.00 285 |
|
| SteuartSystems-ACMMP | | | 2891.50 258 | 3284.78 261 | 1711.67 268 | 1954.00 279 | 1655.00 279 | 10117.00 295 | 445.00 267 | 5102.00 281 | 1375.00 274 | 5126.00 280 | 351.00 252 | 2638.00 288 | 4402.00 283 | 691.00 254 | 842.00 262 |
| Skip Steuart: Steuart Systems R&D Blog. |
| AdaColmap | | | 2570.77 252 | 2948.61 255 | 1437.24 259 | 1873.64 278 | 1526.60 270 | 7819.77 273 | 373.97 256 | 4970.45 276 | 1479.29 275 | 4648.46 273 | 525.80 266 | 1904.97 269 | 4150.42 280 | 695.69 257 | 880.14 268 |
|
| LF4IMVS | | | 2699.50 255 | 3049.67 257 | 1649.00 266 | 1755.00 273 | 1689.00 280 | 8330.00 277 | 464.00 270 | 4997.00 277 | 1528.00 276 | 4763.00 275 | 568.00 270 | 2296.00 277 | 4215.00 281 | 827.00 270 | 962.00 275 |
|
| tpmrst | | | 2557.50 251 | 2847.12 254 | 1688.66 267 | 1784.08 277 | 1778.25 286 | 7445.50 272 | 342.14 252 | 4471.54 273 | 1534.55 277 | 4382.10 271 | 530.10 267 | 2361.21 278 | 4142.81 279 | 991.22 279 | 926.51 270 |
|
| CHOSEN 280x420 | | | 2340.81 247 | 2643.03 250 | 1434.14 256 | 2025.55 285 | 1629.36 276 | 6542.40 262 | 412.49 262 | 4219.70 269 | 1547.02 278 | 4328.52 268 | 650.74 279 | 1798.26 265 | 3333.17 269 | 727.72 258 | 874.79 265 |
|
| CHOSEN 1792x2688 | | | 2340.81 247 | 2643.03 250 | 1434.14 256 | 2025.55 285 | 1629.36 276 | 6542.40 262 | 412.49 262 | 4219.70 269 | 1547.02 278 | 4328.52 268 | 650.74 279 | 1798.26 265 | 3333.17 269 | 727.72 258 | 874.79 265 |
|
| HyFIR lowres test | | | 2340.81 247 | 2643.03 250 | 1434.14 256 | 2025.55 285 | 1629.36 276 | 6542.40 262 | 412.49 262 | 4219.70 269 | 1547.02 278 | 4328.52 268 | 650.74 279 | 1798.26 265 | 3333.17 269 | 727.72 258 | 874.79 265 |
|
| DPM-MVS | | | 3268.00 261 | 3762.89 264 | 1783.33 271 | 1756.00 274 | 1806.00 287 | 12319.00 298 | 307.00 247 | 6319.00 289 | 1557.00 281 | 5763.00 282 | 302.00 246 | 2609.00 284 | 5061.00 287 | 482.00 242 | 935.00 272 |
|
| OPM-MVS | | | 3268.00 261 | 3762.89 264 | 1783.33 271 | 1756.00 274 | 1806.00 287 | 12319.00 298 | 307.00 247 | 6319.00 289 | 1557.00 281 | 5763.00 282 | 302.00 246 | 2609.00 284 | 5061.00 287 | 482.00 242 | 935.00 272 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| EGC-MVSNET | | | 2819.75 256 | 3096.89 259 | 1988.33 277 | 3105.00 307 | 2241.00 297 | 9480.00 286 | 640.00 293 | 4209.00 268 | 1583.00 283 | 4740.00 274 | 547.00 269 | 2797.00 290 | 2644.00 264 | 924.00 277 | 927.00 271 |
|
| tpm2 | | | 3617.85 265 | 4007.23 267 | 2449.73 285 | 2012.71 281 | 1698.05 281 | 7351.19 268 | 869.29 300 | 6132.06 284 | 1588.28 284 | 8007.42 300 | 1281.09 306 | 3888.11 304 | 7472.04 305 | 1351.00 295 | 1763.02 301 |
|
| tpm cat1 | | | 3617.85 265 | 4007.23 267 | 2449.73 285 | 2012.71 281 | 1698.05 281 | 7351.19 268 | 869.29 300 | 6132.06 284 | 1588.28 284 | 8007.42 300 | 1281.09 306 | 3888.11 304 | 7472.04 305 | 1351.00 295 | 1763.02 301 |
|
| CostFormer | | | 3617.85 265 | 4007.23 267 | 2449.73 285 | 2012.71 281 | 1698.05 281 | 7351.19 268 | 869.29 300 | 6132.06 284 | 1588.28 284 | 8007.42 300 | 1281.09 306 | 3888.11 304 | 7472.04 305 | 1351.00 295 | 1763.02 301 |
|
| tpm | | | 3617.85 265 | 4007.23 267 | 2449.73 285 | 2012.71 281 | 1698.05 281 | 7351.19 268 | 869.29 300 | 6132.06 284 | 1588.28 284 | 8007.42 300 | 1281.09 306 | 3888.11 304 | 7472.04 305 | 1351.00 295 | 1763.02 301 |
|
| DVP-MVS++ | | | 3981.10 271 | 4731.32 276 | 1730.42 269 | 2191.51 288 | 1949.98 291 | 16473.90 307 | 355.33 253 | 7172.90 300 | 1622.98 288 | 7879.79 298 | 434.33 258 | 2428.11 280 | 5762.12 290 | 689.04 252 | 813.18 258 |
|
| DVP-MVS | | | 3981.10 271 | 4731.32 276 | 1730.42 269 | 2191.51 288 | 1949.98 291 | 16473.90 307 | 355.33 253 | 7172.90 300 | 1622.98 288 | 7879.79 298 | 434.33 258 | 2428.11 280 | 5762.12 290 | 689.04 252 | 813.18 258 |
| 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 |
| OpenMVS_ROB | | 1936.51 10 | 1959.51 241 | 2224.88 245 | 1163.39 252 | 1253.91 260 | 1434.22 267 | 7065.71 265 | 272.76 245 | 2472.29 256 | 1647.54 290 | 3538.72 262 | 200.37 231 | 1496.48 261 | 2575.17 263 | 997.45 280 | 559.48 242 |
|
| TAPA-MVS | | 6309.84 21 | 3374.90 263 | 3806.99 266 | 2078.63 280 | 2535.47 296 | 2499.25 305 | 8816.16 280 | 456.05 269 | 6255.60 288 | 1664.52 291 | 6704.88 287 | 629.95 277 | 2768.38 289 | 6343.93 301 | 856.35 272 | 968.25 276 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 264 | 4065.89 271 | 1914.35 274 | 2349.10 291 | 2141.30 296 | 12362.70 300 | 417.60 266 | 6717.80 295 | 1759.40 292 | 6497.50 285 | 518.18 265 | 2629.38 287 | 5164.32 289 | 806.40 269 | 972.38 277 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| 3Dnovator+ | | 3414.41 17 | 3146.67 259 | 3537.00 262 | 1975.67 275 | 2310.00 290 | 2005.00 294 | 10100.00 294 | 626.00 292 | 5753.00 282 | 1803.00 293 | 5179.00 281 | 487.00 262 | 2622.00 286 | 4550.00 284 | 1025.00 288 | 1300.00 292 |
|
| ITE_SJBPF | | | | | 2014.00 279 | 1998.00 280 | 1992.00 293 | | 701.00 295 | 5989.00 283 | 1812.00 294 | 3612.00 264 | 650.00 278 | 2852.00 291 | 4601.00 285 | 1195.00 294 | 1198.00 291 |
|
| MVS_111021_HR | | | 3742.80 269 | 4330.34 272 | 1980.20 276 | 2484.31 294 | 2259.52 298 | 14973.80 305 | 515.90 286 | 6500.13 292 | 1949.21 295 | 6146.89 284 | 535.66 268 | 2593.66 283 | 4880.76 286 | 986.37 278 | 1087.43 286 |
|
| FOURS1 | | | | | | 2643.17 297 | 2465.14 300 | 13996.40 302 | 493.26 274 | 7619.38 303 | 2107.24 296 | | | | | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 303 | 2107.24 296 | 7416.93 294 | 610.24 274 | 3088.29 297 | 6075.14 297 | 1078.39 289 | 1159.26 287 |
|
| test_one_0601 | | | | | | 2643.17 297 | 2465.14 300 | | 493.26 274 | 7619.38 303 | 2107.24 296 | 7416.93 294 | 610.24 274 | | | | |
|
| SED-MVS | | | 4062.74 274 | 4671.13 275 | 2237.56 281 | 2643.17 297 | 2465.14 300 | 13996.40 302 | 493.26 274 | 7619.38 303 | 2107.24 296 | 7416.93 294 | 610.24 274 | 3088.29 297 | 6075.14 297 | 1078.39 289 | 1159.26 287 |
|
| IU-MVS | | | | | | 2725.60 302 | 2598.35 306 | | 515.86 282 | 7016.02 296 | 2363.85 300 | | | | 5973.88 293 | 1620.04 301 | 1732.56 297 |
|
| test_241102_TWO | | | | | | | | | 515.86 282 | 7016.02 296 | 2363.85 300 | 6894.28 288 | 887.23 292 | 3023.43 293 | 5973.88 293 | 1620.04 301 | 1732.56 297 |
|
| test_241102_ONE | | | | | | 2725.60 302 | 2598.35 306 | | 515.86 282 | 7016.02 296 | 2363.85 300 | 6894.28 288 | 887.23 292 | 3023.43 293 | | | |
|
| MSP-MVS | | | 4296.20 275 | 4911.12 279 | 2451.45 289 | 2725.60 302 | 2598.35 306 | 16203.30 306 | 515.86 282 | 7016.02 296 | 2363.85 300 | 6894.28 288 | 887.23 292 | 3023.43 293 | 5973.88 293 | 1620.04 301 | 1732.56 297 |
| 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 |
| GST-MVS | | | 4000.00 273 | 4533.33 274 | 2400.00 284 | 2400.00 293 | 2400.00 299 | 7200.00 267 | 2400.00 316 | 7200.00 302 | 2400.00 304 | 7200.00 292 | 2400.00 310 | 2400.00 279 | 7200.00 303 | 2400.00 307 | 2400.00 306 |
|
| MAR-MVS | | | 3973.16 270 | 4387.92 273 | 2728.86 291 | 3345.27 308 | 3341.39 312 | 11403.90 297 | 798.76 297 | 6555.62 294 | 2569.29 305 | 6514.86 286 | 834.97 291 | 3237.43 301 | 5891.08 292 | 1577.54 300 | 1607.76 293 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| API-MVS | | | 4380.83 276 | 4906.56 278 | 2803.67 292 | 3844.00 309 | 3116.00 311 | 13454.00 301 | 901.00 304 | 6511.00 293 | 2794.00 306 | 7365.00 293 | 754.00 288 | 3634.00 302 | 6622.00 302 | 1914.00 306 | 1661.00 296 |
|
| OMC-MVS | | | 5022.26 277 | 5748.82 280 | 2842.58 293 | 4905.27 311 | 3101.27 310 | 14933.60 304 | 812.24 298 | 9278.40 307 | 2959.29 307 | 8800.17 304 | 1092.24 304 | 3806.30 303 | 7568.54 309 | 1389.60 299 | 1620.18 295 |
|
| LS3D | | | 7684.71 279 | 8776.23 282 | 4410.16 295 | 5298.55 312 | 5631.53 314 | 34329.90 312 | 1504.57 314 | 11554.00 316 | 3896.41 308 | 15111.00 313 | 812.19 289 | 5985.63 309 | 3516.20 273 | 2963.23 308 | 1613.31 294 |
|
| CLD-MVS | | | 7338.25 278 | 8341.00 281 | 4330.00 294 | 4902.00 310 | 4991.00 313 | 23318.00 310 | 728.00 296 | 14437.00 317 | 4378.00 309 | 13379.00 312 | 824.00 290 | 5708.00 308 | 11429.00 318 | 1674.00 305 | 2291.00 305 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| MVE | | 10021.00 22 | 10550.67 287 | 10002.44 290 | 12195.33 304 | 6242.00 313 | 8768.00 316 | 30896.00 311 | 4451.00 317 | 10331.00 315 | 6247.00 310 | 18296.00 314 | 283.00 243 | 21484.00 318 | 7364.00 304 | 5912.00 310 | 6334.00 308 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 288 | 11772.44 291 | 7637.33 296 | 9120.00 314 | 8206.00 315 | 22252.00 309 | 2010.00 315 | 24984.00 318 | 7458.00 311 | 22596.00 315 | 2940.00 311 | 10260.00 317 | 11100.00 317 | 3492.00 309 | 4446.00 307 |
|
| ZNCC-MVS | | | 9999.00 280 | 9999.00 283 | 9999.00 297 | 9999.00 315 | 9999.00 317 | 9999.00 287 | 9999.00 320 | 9999.00 308 | 9999.00 312 | 9999.00 305 | 9999.00 313 | 9999.00 310 | 9999.00 310 | 9999.00 311 | 9999.00 309 |
|
| patch_mono-2 | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| dcpmvs_2 | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| DCPMVS | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| UA-Net | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| uncertanet | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| uanet | | | 10000.00 281 | 10000.00 284 | 10000.00 298 | 10000.00 316 | 10000.00 318 | 10000.00 288 | 10000.00 321 | 10000.00 309 | 10000.00 313 | 10000.00 306 | 10000.00 314 | 10000.00 311 | 10000.00 311 | 10000.00 312 | 10000.00 310 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 289 | 22805.00 292 | 25097.33 305 | 15500.00 322 | 19201.00 324 | 42712.00 313 | 6055.00 318 | 38388.00 319 | 16926.00 319 | 38534.00 316 | 7071.00 312 | 35653.00 319 | 29475.00 319 | 10584.00 318 | 20438.00 317 |
| 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 | | | 32606.17 290 | 34443.44 293 | 27094.33 306 | 29249.00 323 | 25246.00 325 | 51144.00 314 | 6705.00 319 | 42886.00 320 | 22888.00 320 | 48534.00 317 | 13263.00 320 | 37507.00 320 | 79298.00 320 | 16024.00 319 | 18530.00 316 |
|
| 114514_t | | | 99999.00 291 | 99999.00 294 | 99999.00 307 | 99999.00 324 | 99999.00 326 | 99999.00 315 | 99999.00 327 | 99999.00 321 | 99999.00 321 | 99999.00 318 | 99999.00 321 | 99999.00 321 | 99999.00 321 | 99999.00 320 | 99999.00 318 |
|
| PHI-MVS | | | 99999.00 291 | 99999.00 294 | 99999.00 307 | 99999.00 324 | 99999.00 326 | 99999.00 315 | 99999.00 327 | 99999.00 321 | 99999.00 321 | 99999.00 318 | 99999.00 321 | 99999.00 321 | 99999.00 321 | 99999.00 320 | 99999.00 318 |
|
| XVG-OURS-SEG-HR | | | 999999.00 295 | 999999.00 296 | 999999.00 309 | 999999.00 326 | 999999.00 328 | 999999.00 317 | 999999.00 329 | 999999.00 323 | 999999.00 323 | 999999.00 320 | 999999.00 323 | 999999.00 323 | 999999.00 323 | 999999.00 322 | 999999.00 320 |
|
| XVG-OURS | | | 999999.00 295 | 999999.00 296 | 999999.00 309 | 999999.00 326 | 999999.00 328 | 999999.00 317 | 999999.00 329 | 999999.00 323 | 999999.00 323 | 999999.00 320 | 999999.00 323 | 999999.00 323 | 999999.00 323 | 999999.00 322 | 999999.00 320 |
|
| XVG-ACMP-BASELINE | | | 999999.00 295 | 999999.00 296 | 999999.00 309 | 999999.00 326 | 999999.00 328 | 999999.00 317 | 999999.00 329 | 999999.00 323 | 999999.00 323 | 999999.00 320 | 999999.00 323 | 999999.00 323 | 999999.00 323 | 999999.00 322 | 999999.00 320 |
|
| MVSMamba_PlusPlus | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| MGCFI-Net | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| sasdasda | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| dmvs_re | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| SDMVSNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| dmvs_testset | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| sd_testset | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| balanced_conf03 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| MonoMVSNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test2506 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test1111 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| ECVR-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test_blank | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| tt0805 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Anonymous20240521 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| cl22 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| miper_ehance_all_eth | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| miper_enhance_ethall | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| cl____ | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| DIV-MVS_self_test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| eth_miper_zixun_eth | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| UniMVSNet_ETH3D | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| miper_lstm_enhance | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| D2MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test_yl | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| thisisatest0530 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Anonymous20240529 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Anonymous202405211 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| DCV-MVSNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| tttt0517 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| our_test_3 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| thisisatest0515 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| ppachtmachnet_test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| SMA-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| 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 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 10000000.00 329 | 10000000.00 331 | | | | 10000000.00 326 | | | | | | |
|
| thres100view900 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| tfpnnormal | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| tfpn200view9 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| c3_l | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| IterMVS-SCA-FT | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pmmvs6 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pmmvs5 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Anonymous20231211 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pmmvs-eth3d | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Anonymous20231206 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| SCA | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Patchmatch-test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Patchmatch-RL test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| canonicalmvs | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| anonymousdsp | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| FIs | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| FC-MVSNet-test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| sosnet-low-res | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| AllTest | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| TestCases | | | | | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| RRT-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| mamv4 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| HPM-MVS++ | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| XVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pm-mvs1 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| X-MVStestdata | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| APDe-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pmmvs4 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test-LLR | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| TESTMET0.1,1 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test-mter | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| testgi | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test20.03 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| thres600view7 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| MP-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| thres400 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test123 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| thres200 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| test0.0.03 1 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| pmmvs3 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| EMVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| E-PMN | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PGM-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| MCST-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| MVS_Test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PMMVS2 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PM-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| HQP_MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| plane_prior3 | | | | | | | 10000000.00 331 | | | 10000000.00 326 | 10000000.00 326 | | | | | | |
|
| mPP-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| mvsmamba | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| HPM-MVS_fast | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| HPM-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| LGP-MVS_train | | | | | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| EPNet_dtu | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP-NCC | | | | | | 10000000.00 329 | | 10000000.00 320 | | 10000000.00 326 | 10000000.00 326 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 329 | | 10000000.00 320 | | 10000000.00 326 | 10000000.00 326 | | | | | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 326 | | | 10000000.00 326 | | | 10000000.00 323 |
|
| CNVR-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| NCCC | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| CP-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| CPTT-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| HQP-MVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| IS-MVSNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PAPM_NR | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PAPR | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PatchMatch-RL | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| TDRefinement | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| EPP-MVSNet | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PMMVS | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| PAPM | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| ACMMP | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
| 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 | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| wuyk23d | | | 10000000.00 298 | 10000000.00 301 | 10000000.00 312 | 10000000.00 329 | 10000000.00 331 | 10000000.00 320 | 10000000.00 332 | 10000000.00 326 | 10000000.00 326 | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| APD-MVS | | | 1000000000.00 407 | 1000000000.00 410 | 1000000000.00 423 | 1000000000.00 448 | 1000000000.00 448 | 1000000000.00 434 | 1000000000.00 448 | 1000000000.00 441 | 1000000000.00 442 | 1000000000.00 439 | 1000000000.00 444 | 1000000000.00 442 | 1000000000.00 441 | 1000000000.00 440 | 1000000000.00 438 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 193 | | | | | | | | 422.23 186 | | |
|
| MSC_two_6792asdad | | | | | 2237.56 281 | 2643.17 297 | 2465.14 300 | | 493.26 274 | | | | | 3088.29 297 | 6075.14 297 | 1078.39 289 | 1159.26 287 |
|
| No_MVS | | | | | 2237.56 281 | 2643.17 297 | 2465.14 300 | | 493.26 274 | | | | | 3088.29 297 | 6075.14 297 | 1078.39 289 | 1159.26 287 |
|
| eth-test2 | | | | | | 1.42 87 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 329 | | | | | | | | | | | |
|
| OPU-MVS | | | | | 2451.45 289 | 2725.60 302 | 2598.35 306 | 9203.30 282 | | | | 6894.28 288 | 887.23 292 | 3023.43 293 | 5973.88 293 | 1620.04 301 | 1732.56 297 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test_0728_SECOND | | | | | 1451.45 260 | 1725.60 269 | 1598.35 273 | 9203.30 282 | 315.86 249 | | | | | 2023.43 271 | 3973.88 276 | 620.04 247 | 732.56 252 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 323 |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 326 | | | | 10000000.00 323 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 326 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 332 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 320 | | | | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | 10000000.00 326 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 323 | 10000000.00 326 | 10000000.00 326 | | | |
|
| MTMP | | | | | | | | 10000000.00 320 | 10000000.00 332 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 226 | 600.33 234 | | | 579.21 187 | | 567.40 183 | | 531.67 214 | 503.93 193 | | |
|
| 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_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 新几何2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 无先验 | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 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 | | | | | | 10000000.00 329 | 10000000.00 331 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 329 | 10000000.00 331 | | | | | | 10000000.00 326 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 332 | | | | | 10000000.00 326 | 10000000.00 326 | 10000000.00 325 | 10000000.00 323 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 323 | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 320 | | 10000000.00 326 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 329 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 81 | 2.00 119 | | 2.00 120 | | | | | | 2.00 118 | |
|
| n2 | | | | | | | | | 14.20 161 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 89 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 89 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 82 | | | | | | | | |
|
| door | | | | | | | | | 99.00 211 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 331 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 326 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 332 | | | | | | | 10000000.00 325 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 326 | | | | |
|
| NP-MVS | | | | | | 10000000.00 329 | 10000000.00 331 | | | | | 10000000.00 323 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 325 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 325 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 296 | | | | |
|
