| fmvsm_s_conf0.5_n_6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 新几何1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 无先验 | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| h-mvs33 | | | 0.30 43 | 0.30 44 | 0.30 48 | 0.30 55 | 0.30 55 | 0.30 55 | 0.30 56 | 0.30 55 | 0.30 54 | 0.30 52 | 0.30 54 | 0.30 55 | 0.30 53 | 0.30 53 | 0.30 53 |
|
| hse-mvs2 | | | 0.30 43 | 0.30 44 | 0.30 48 | 0.30 55 | 0.30 55 | 0.30 55 | 0.30 56 | 0.30 55 | 0.30 54 | 0.30 52 | 0.30 54 | 0.30 55 | 0.30 53 | 0.30 53 | 0.30 53 |
|
| CL-MVSNet_self_test | | | 0.30 43 | 0.30 44 | 0.30 48 | 0.30 55 | 0.30 55 | 0.30 55 | 0.30 56 | 0.30 55 | 0.30 54 | 0.30 52 | 0.30 54 | 0.30 55 | 0.30 53 | 0.30 53 | 0.30 53 |
|
| AUN-MVS | | | 0.30 43 | 0.30 44 | 0.30 48 | 0.30 55 | 0.30 55 | 0.30 55 | 0.30 56 | 0.30 55 | 0.30 54 | 0.30 52 | 0.30 54 | 0.30 55 | 0.30 53 | 0.30 53 | 0.30 53 |
|
| LCM-MVSNet | | | 0.37 47 | 0.36 48 | 0.37 52 | 0.37 59 | 0.37 59 | 0.37 59 | 0.32 60 | 0.37 59 | 0.37 58 | 0.37 56 | 0.37 58 | 0.37 59 | 0.37 57 | 0.37 57 | 0.37 57 |
|
| Fast-Effi-MVS+ | | | 0.41 60 | 0.40 49 | 0.41 65 | 0.41 72 | 0.41 72 | 0.41 72 | 0.35 61 | 0.41 72 | 0.41 71 | 0.41 69 | 0.41 71 | 0.41 72 | 0.41 70 | 0.41 70 | 0.41 70 |
|
| v144192 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v1921920 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v1192 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v1144 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v148 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v7n | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v1240 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v8 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v10 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| v2v482 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| V42 | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| GA-MVS | | | 0.40 48 | 0.40 49 | 0.40 53 | 0.40 60 | 0.40 60 | 0.40 60 | 0.40 62 | 0.40 60 | 0.40 59 | 0.40 57 | 0.40 59 | 0.40 60 | 0.40 58 | 0.40 58 | 0.40 58 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 61 | 0.44 62 | 0.44 66 | 0.44 73 | 0.44 73 | 0.44 73 | 0.44 74 | 0.44 73 | 0.44 72 | 0.44 70 | 0.44 72 | 0.44 73 | 0.44 71 | 0.44 71 | 0.44 71 |
|
| Effi-MVS+ | | | 0.58 62 | 0.56 63 | 0.62 69 | 0.53 74 | 0.62 76 | 0.53 74 | 0.53 75 | 0.53 74 | 0.62 75 | 0.62 73 | 0.53 73 | 0.62 76 | 0.62 73 | 0.53 72 | 0.62 74 |
|
| KD-MVS_self_test | | | 0.60 64 | 0.60 64 | 0.60 68 | 0.60 75 | 0.60 75 | 0.60 76 | 0.60 76 | 0.60 75 | 0.60 74 | 0.60 72 | 0.60 74 | 0.60 75 | 0.60 72 | 0.60 74 | 0.60 73 |
|
| EIA-MVS | | | 0.62 65 | 0.62 66 | 0.62 69 | 0.62 76 | 0.62 76 | 0.62 77 | 0.62 77 | 0.62 76 | 0.62 75 | 0.62 73 | 0.62 75 | 0.62 76 | 0.62 73 | 0.62 75 | 0.62 74 |
|
| ETV-MVS | | | 0.62 65 | 0.62 66 | 0.62 69 | 0.62 76 | 0.62 76 | 0.62 77 | 0.62 77 | 0.62 76 | 0.62 75 | 0.62 73 | 0.62 75 | 0.62 76 | 0.62 73 | 0.62 75 | 0.62 74 |
|
| CS-MVS | | | 0.62 65 | 0.62 66 | 0.62 69 | 0.62 76 | 0.62 76 | 0.62 77 | 0.62 77 | 0.62 76 | 0.62 75 | 0.62 73 | 0.62 75 | 0.62 76 | 0.62 73 | 0.62 75 | 0.62 74 |
|
| SPE-MVS-test | | | 0.62 65 | 0.62 66 | 0.62 69 | 0.62 76 | 0.62 76 | 0.62 77 | 0.62 77 | 0.62 76 | 0.62 75 | 0.62 73 | 0.62 75 | 0.62 76 | 0.62 73 | 0.62 75 | 0.62 74 |
|
| EC-MVSNet | | | 0.62 65 | 0.62 66 | 0.62 69 | 0.62 76 | 0.62 76 | 0.62 77 | 0.62 77 | 0.62 76 | 0.62 75 | 0.62 73 | 0.62 75 | 0.62 76 | 0.62 73 | 0.62 75 | 0.62 74 |
|
| Effi-MVS+-dtu | | | 0.59 63 | 0.61 65 | 0.53 67 | 0.68 81 | 0.53 74 | 0.53 74 | 0.68 82 | 0.68 81 | 0.53 73 | 0.53 71 | 0.68 80 | 0.53 74 | 0.68 79 | 0.53 72 | 0.53 72 |
|
| CDS-MVSNet | | | 0.88 70 | 0.88 71 | 0.88 75 | 0.88 82 | 0.88 82 | 0.88 82 | 0.88 83 | 0.88 82 | 0.88 81 | 0.88 79 | 0.88 81 | 0.88 82 | 0.88 80 | 0.88 80 | 0.88 80 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 70 | 0.88 71 | 0.88 75 | 0.88 82 | 0.88 82 | 0.88 82 | 0.88 83 | 0.88 82 | 0.88 81 | 0.88 79 | 0.88 81 | 0.88 82 | 0.88 80 | 0.88 80 | 0.88 80 |
|
| LCM-MVSNet-Re | | | 0.89 72 | 0.89 73 | 0.89 77 | 0.89 84 | 0.89 84 | 0.89 84 | 0.89 85 | 0.89 84 | 0.89 83 | 0.89 81 | 0.89 83 | 0.89 84 | 0.89 82 | 0.89 82 | 0.89 82 |
|
| test11 | | | | | | | | | 1.00 86 | | | | | | | | |
|
| DeepMVS_CX |  | | | | 1.00 78 | 1.00 85 | 1.00 85 | | 1.00 86 | 1.00 85 | 1.00 84 | 1.00 82 | 1.00 84 | 1.00 85 | 1.00 83 | 1.00 83 | 1.00 83 |
|
| MDA-MVSNet-bldmvs | | | 1.20 73 | 1.20 74 | 1.20 79 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 88 | 1.20 86 | 1.20 85 | 1.20 83 | 1.20 85 | 1.20 86 | 1.20 84 | 1.20 84 | 1.20 84 |
|
| YYNet1 | | | 1.20 73 | 1.20 74 | 1.20 79 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 88 | 1.20 86 | 1.20 85 | 1.20 83 | 1.20 85 | 1.20 86 | 1.20 84 | 1.20 84 | 1.20 84 |
|
| MDA-MVSNet_test_wron | | | 1.20 73 | 1.20 74 | 1.20 79 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 88 | 1.20 86 | 1.20 85 | 1.20 83 | 1.20 85 | 1.20 86 | 1.20 84 | 1.20 84 | 1.20 84 |
|
| KD-MVS_2432*1600 | | | 1.30 76 | 1.30 77 | 1.30 82 | 1.30 89 | 1.30 90 | 1.30 88 | 1.30 91 | 1.30 89 | 1.30 88 | 1.30 86 | 1.30 88 | 1.30 89 | 1.30 87 | 1.30 87 | 1.30 87 |
|
| miper_refine_blended | | | 1.30 76 | 1.30 77 | 1.30 82 | 1.30 89 | 1.30 90 | 1.30 88 | 1.30 91 | 1.30 89 | 1.30 88 | 1.30 86 | 1.30 88 | 1.30 89 | 1.30 87 | 1.30 87 | 1.30 87 |
|
| EI-MVSNet-UG-set | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| EI-MVSNet-Vis-set | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| EI-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| Regformer | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| CVMVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| EU-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| PS-CasMVS | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| PEN-MVS | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| TransMVSNet (Re) | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| DTE-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| DU-MVS | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| UniMVSNet (Re) | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| CP-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| WR-MVS_H | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| WR-MVS | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| NR-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| Baseline_NR-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| nn | | | | | | | | | 1.42 93 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 93 | | | | | | | | |
|
| MVSFormer | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| jason | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
| jason: jason. |
| lupinMVS | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| test_djsdf | | | 1.42 78 | 1.42 79 | 1.42 84 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 93 | 1.42 91 | 1.42 90 | 1.42 88 | 1.42 90 | 1.42 91 | 1.42 89 | 1.42 89 | 1.42 89 |
|
| reproduce_monomvs | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| mmtdpeth | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| reproduce_model | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| reproduce-ours | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| our_new_method | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| mmdepth | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| monomultidepth | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| mvs5depth | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| MVStest1 | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| ttmdpeth | | | 1.48 101 | 1.48 102 | 1.48 107 | 1.48 115 | 1.48 115 | 1.48 113 | 1.48 118 | 1.48 114 | 1.48 113 | 1.48 111 | 1.48 113 | 1.48 114 | 1.48 112 | 1.48 112 | 1.48 112 |
|
| alignmvs | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| nrg030 | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| LFMVS | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| VDD-MVS | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| VDDNet | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| VPNet | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| VNet | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| VPA-MVSNet | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| cascas | | | 2.00 111 | 2.00 112 | 2.00 117 | 2.00 125 | 2.00 125 | 2.00 123 | 2.00 128 | 2.00 124 | 2.00 123 | 2.00 121 | 2.00 123 | 2.00 124 | 2.00 122 | 2.00 122 | 2.00 122 |
|
| dp | | | 87.20 149 | 113.80 153 | 7.42 136 | 10.50 155 | 8.88 144 | 298.82 170 | 2.70 137 | 510.35 189 | 7.79 142 | 172.93 163 | 3.37 132 | 9.16 143 | 14.00 154 | 3.71 132 | 4.23 132 |
|
| test_method | | | 18.29 142 | 20.89 144 | 10.50 147 | 15.00 157 | 13.00 159 | 55.00 162 | 3.00 138 | 34.00 159 | 11.50 155 | 32.50 153 | 5.00 133 | 13.50 156 | 27.00 157 | 5.00 133 | 5.00 133 |
|
| GeoE | | | 19.41 143 | 22.09 145 | 11.37 148 | 17.21 159 | 11.30 157 | 50.50 161 | 4.30 139 | 33.60 158 | 11.70 157 | 44.50 158 | 7.30 144 | 18.90 158 | 22.60 156 | 7.10 144 | 3.90 131 |
|
| UnsupCasMVSNet_eth | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| UnsupCasMVSNet_bld | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| WTY-MVS | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| HY-MVS | | 5.90 1 | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| sss | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| Test_1112_low_res | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| 1112_ss | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| ab-mvs-re | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| ab-mvs | | | 5.90 120 | 5.90 121 | 5.90 126 | 5.90 134 | 5.90 134 | 5.90 133 | 5.90 140 | 5.90 134 | 5.90 132 | 5.90 130 | 5.90 134 | 5.90 133 | 5.90 131 | 5.90 134 | 5.90 134 |
|
| CDPH-MVS | | | 6.66 129 | 6.66 130 | 6.66 135 | 6.66 143 | 6.66 143 | 6.66 142 | 6.66 149 | 6.66 143 | 6.66 141 | 6.66 139 | 6.66 143 | 6.66 142 | 6.66 140 | 6.66 143 | 6.66 143 |
|
| GBi-Net | | | 44.67 148 | 49.24 150 | 30.96 151 | 47.53 164 | 47.57 165 | 126.09 163 | 8.00 150 | 76.99 164 | 26.09 159 | 73.50 160 | 11.27 157 | 30.55 159 | 61.12 162 | 12.58 157 | 14.75 156 |
|
| MDTV_nov1_ep13 | | | | 9.99 131 | | 9.99 144 | 9.99 145 | 9.99 143 | 9.99 151 | 9.99 144 | 9.99 143 | 9.99 140 | 9.99 145 | 9.99 144 | 9.99 141 | 9.99 145 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| xiu_mvs_v2_base | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| xiu_mvs_v1_base | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| xiu_mvs_v1_base_debi | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| cdsmvs_eth3d_5k | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| pcd_1.5k_mvsjas | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| PS-MVSNAJss | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| PS-MVSNAJ | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| jajsoiax | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| mvs_tets | | | 10.28 130 | 10.28 132 | 10.28 137 | 10.28 145 | 10.28 147 | 10.28 145 | 10.28 152 | 10.28 146 | 10.28 145 | 10.28 141 | 10.28 147 | 10.28 145 | 10.28 143 | 10.28 146 | 10.28 145 |
|
| MP-MVS-pluss | | | 833433.63 301 | 1111219.60 307 | 75.70 162 | 74.28 166 | 73.29 169 | 284.50 167 | 11.35 162 | 238.58 171 | 65.86 167 | 255.35 179 | 14.55 160 | 115.69 181 | 10000000.00 334 | 31.94 160 | 38.12 166 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 155 | 133.18 157 | 75.70 162 | 74.28 166 | 73.29 169 | 284.50 167 | 11.35 162 | 238.58 171 | 65.86 167 | 255.35 179 | 14.55 160 | 115.69 181 | 222.18 181 | 31.94 160 | 38.12 166 |
|
| SR-MVS-dyc-post | | | 11.55 140 | 11.55 142 | 11.55 149 | 11.55 156 | 11.55 158 | 11.55 155 | 11.55 164 | 11.55 156 | 11.55 156 | 11.55 151 | 11.55 158 | 11.55 155 | 11.55 153 | 11.55 156 | 11.55 155 |
|
| n2 | | | | | | | | | 14.20 165 | | | | | | | | |
|
| XXY-MVS | | | 15.00 141 | 15.00 143 | 15.00 150 | 15.00 157 | 15.00 160 | 15.00 156 | 15.00 166 | 15.00 157 | 15.00 158 | 15.00 152 | 15.00 162 | 15.00 157 | 15.00 155 | 15.00 158 | 15.00 157 |
|
| new_pmnet | | | 88.14 150 | 98.62 151 | 56.70 156 | 98.14 171 | 56.07 166 | 246.79 165 | 15.37 167 | 148.06 165 | 50.77 164 | 143.13 161 | 23.35 163 | 62.65 164 | 93.26 163 | 68.71 182 | 51.38 178 |
|
| N_pmnet | | | 88.14 150 | 98.62 151 | 56.70 156 | 98.14 171 | 56.07 166 | 246.79 165 | 15.37 167 | 148.06 165 | 50.77 164 | 143.13 161 | 23.35 163 | 62.65 164 | 93.26 163 | 68.71 182 | 51.38 178 |
|
| BP-MVS1 | | | 202.65 167 | 232.15 169 | 114.16 175 | 183.40 185 | 141.78 185 | 655.87 189 | 24.69 169 | 372.56 184 | 109.76 183 | 356.89 181 | 47.15 183 | 139.51 183 | 284.15 183 | 54.86 179 | 61.20 180 |
|
| CANet | | | 110.62 152 | 124.04 154 | 70.34 159 | 82.03 168 | 74.27 171 | 325.54 171 | 25.25 170 | 207.16 167 | 69.28 169 | 194.38 164 | 27.53 165 | 95.79 173 | 147.76 167 | 37.43 162 | 40.97 172 |
|
| CANet_DTU | | | 110.62 152 | 124.04 154 | 70.34 159 | 82.03 168 | 74.27 171 | 325.54 171 | 25.25 170 | 207.16 167 | 69.28 169 | 194.38 164 | 27.53 165 | 95.79 173 | 147.76 167 | 37.43 162 | 40.97 172 |
|
| UGNet | | | 110.62 152 | 124.04 154 | 70.34 159 | 82.03 168 | 74.27 171 | 325.54 171 | 25.25 170 | 207.16 167 | 69.28 169 | 194.38 164 | 27.53 165 | 95.79 173 | 147.76 167 | 37.43 162 | 40.97 172 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| PVSNet_Blended_VisFu | | | 136.90 164 | 155.40 166 | 81.40 171 | 111.00 181 | 96.20 175 | 407.00 181 | 25.90 173 | 251.60 173 | 85.10 179 | 240.50 175 | 37.00 175 | 99.90 176 | 199.80 177 | 40.70 176 | 48.10 175 |
|
| PVSNet_BlendedMVS | | | 136.90 164 | 155.40 166 | 81.40 171 | 111.00 181 | 96.20 175 | 407.00 181 | 25.90 173 | 251.60 173 | 85.10 179 | 240.50 175 | 37.00 175 | 99.90 176 | 199.80 177 | 40.70 176 | 48.10 175 |
|
| PVSNet_Blended | | | 136.90 164 | 155.40 166 | 81.40 171 | 111.00 181 | 96.20 175 | 407.00 181 | 25.90 173 | 251.60 173 | 85.10 179 | 240.50 175 | 37.00 175 | 99.90 176 | 199.80 177 | 40.70 176 | 48.10 175 |
|
| FMVSNet5 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| test1 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| FMVSNet3 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| FMVSNet2 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| FMVSNet1 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| MIMVSNet1 | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| MIMVSNet | | | 124.76 156 | 140.93 158 | 76.26 164 | 107.44 174 | 100.17 178 | 329.88 174 | 27.12 176 | 259.44 176 | 74.30 172 | 204.34 167 | 30.74 168 | 92.41 166 | 196.98 170 | 38.15 165 | 36.19 159 |
|
| FE-MVS | | | 207.10 168 | 234.26 170 | 125.61 176 | 180.34 184 | 153.23 186 | 635.64 188 | 30.05 183 | 378.38 185 | 127.68 184 | 377.08 182 | 48.95 184 | 154.43 184 | 266.67 182 | 63.56 180 | 69.18 181 |
|
| GDP-MVS | | | 219.79 169 | 249.11 171 | 131.85 177 | 187.15 186 | 155.97 187 | 667.31 190 | 30.57 184 | 398.95 186 | 131.26 185 | 387.86 183 | 58.83 186 | 164.55 185 | 315.00 184 | 65.03 181 | 75.04 182 |
|
| BH-w/o | | | 40.00 144 | 40.00 146 | 40.00 152 | 40.00 160 | 40.00 161 | 40.00 157 | 40.00 185 | 40.00 160 | 40.00 160 | 40.00 154 | 40.00 179 | 40.00 160 | 40.00 158 | 40.00 172 | 40.00 168 |
|
| BH-untuned | | | 40.00 144 | 40.00 146 | 40.00 152 | 40.00 160 | 40.00 161 | 40.00 157 | 40.00 185 | 40.00 160 | 40.00 160 | 40.00 154 | 40.00 179 | 40.00 160 | 40.00 158 | 40.00 172 | 40.00 168 |
|
| BH-RMVSNet | | | 40.00 144 | 40.00 146 | 40.00 152 | 40.00 160 | 40.00 161 | 40.00 157 | 40.00 185 | 40.00 160 | 40.00 160 | 40.00 154 | 40.00 179 | 40.00 160 | 40.00 158 | 40.00 172 | 40.00 168 |
|
| TR-MVS | | | 40.00 144 | 40.00 146 | 40.00 152 | 40.00 160 | 40.00 161 | 40.00 157 | 40.00 185 | 40.00 160 | 40.00 160 | 40.00 154 | 40.00 179 | 40.00 160 | 40.00 158 | 40.00 172 | 40.00 168 |
|
| FA-MVS(test-final) | | | 261.15 170 | 293.29 172 | 164.72 178 | 236.23 189 | 199.99 192 | 800.05 196 | 42.35 189 | 475.87 188 | 155.47 186 | 470.67 185 | 58.49 185 | 205.24 187 | 319.44 185 | 81.03 185 | 88.93 183 |
|
| DSMNet-mixed | | | 131.33 163 | 143.00 165 | 96.33 174 | 99.00 173 | 81.00 174 | 201.00 164 | 45.00 190 | 335.00 183 | 99.00 182 | 251.00 178 | 38.00 178 | 110.00 180 | 120.00 166 | 99.00 188 | 98.00 184 |
|
| WB-MVS | | | 316.44 173 | 357.41 175 | 193.51 182 | 257.06 191 | 213.32 195 | 914.45 199 | 49.03 191 | 600.77 196 | 186.42 190 | 634.00 198 | 75.03 191 | 251.35 192 | 411.39 189 | 88.55 186 | 115.87 188 |
|
| kuosan | | | 267.89 172 | 301.05 174 | 168.41 179 | 244.05 190 | 177.28 188 | 667.98 191 | 65.76 192 | 533.41 190 | 157.79 187 | 492.01 186 | 104.69 201 | 226.72 188 | 364.47 188 | 79.31 184 | 101.21 186 |
|
| testing91 | | | 347.05 176 | 389.92 178 | 218.43 185 | 275.92 196 | 241.43 197 | 923.71 201 | 71.70 193 | 667.65 201 | 217.04 195 | 629.00 196 | 113.33 205 | 281.39 195 | 495.50 195 | 115.45 192 | 132.47 192 |
|
| testing11 | | | 348.86 177 | 393.09 179 | 216.15 184 | 275.24 195 | 239.53 196 | 915.55 200 | 72.35 194 | 679.89 202 | 215.75 194 | 633.79 197 | 118.08 206 | 276.62 194 | 509.56 203 | 117.61 195 | 132.30 191 |
|
| dongtai | | | 360.45 178 | 401.64 180 | 236.89 188 | 303.10 199 | 262.16 203 | 963.12 202 | 72.78 195 | 622.82 199 | 199.37 192 | 708.06 201 | 130.96 209 | 310.90 198 | 506.46 202 | 108.11 189 | 137.60 196 |
|
| WB-MVSnew | | | 404.84 184 | 458.00 186 | 245.36 190 | 374.70 209 | 320.27 211 | 1193.74 220 | 72.90 196 | 773.77 211 | 238.30 196 | 688.22 200 | 90.05 194 | 308.59 197 | 532.76 206 | 157.54 207 | 107.21 187 |
|
| SSC-MVS | | | 320.23 174 | 364.09 176 | 188.66 181 | 260.78 192 | 193.84 190 | 975.93 205 | 73.11 197 | 596.72 195 | 185.29 189 | 589.02 192 | 74.47 190 | 246.01 191 | 427.42 192 | 94.06 187 | 126.12 189 |
|
| testing99 | | | 408.82 185 | 462.15 187 | 248.86 192 | 322.45 202 | 269.42 204 | 1118.93 216 | 73.26 198 | 719.36 206 | 262.28 200 | 772.10 205 | 150.98 216 | 327.08 201 | 601.98 211 | 137.99 200 | 150.07 199 |
|
| myMVS_eth3d28 | | | 418.40 187 | 473.07 189 | 254.39 194 | 261.18 193 | 313.04 207 | 1172.79 219 | 74.16 199 | 929.18 219 | 264.68 201 | 745.72 204 | 139.03 214 | 318.91 199 | 549.18 208 | 121.71 197 | 131.21 190 |
|
| UWE-MVS-28 | | | 327.73 175 | 369.67 177 | 201.90 183 | 281.09 198 | 210.75 193 | 832.98 198 | 74.67 200 | 680.98 203 | 198.23 191 | 613.42 195 | 112.56 204 | 259.80 193 | 418.76 190 | 114.35 190 | 135.15 195 |
|
| DP-MVS | | | 264.78 171 | 296.02 173 | 171.04 180 | 191.70 187 | 183.96 189 | 827.10 197 | 78.36 201 | 438.24 187 | 176.64 188 | 435.12 184 | 65.04 188 | 230.52 190 | 334.02 186 | 117.96 196 | 98.64 185 |
|
| DP-MVS Recon | | | 516.25 199 | 581.17 200 | 321.48 208 | 361.02 206 | 429.00 224 | 1995.36 236 | 78.48 202 | 796.20 212 | 283.32 208 | 796.02 210 | 96.78 196 | 382.98 211 | 636.72 217 | 186.66 219 | 152.46 200 |
|
| testing222 | | | 430.52 188 | 487.50 192 | 259.56 195 | 379.87 213 | 282.69 205 | 1138.34 217 | 81.30 203 | 880.86 215 | 281.58 205 | 834.27 216 | 135.83 212 | 333.22 202 | 514.90 204 | 140.56 201 | 162.76 202 |
|
| ACMH+ | | 729.97 2 | 661.38 206 | 754.00 208 | 383.51 212 | 368.96 208 | 376.38 219 | 2483.74 250 | 82.42 204 | 1089.25 230 | 333.39 217 | 1219.68 235 | 66.53 189 | 573.60 235 | 957.86 233 | 184.14 218 | 200.56 216 |
|
| UWE-MVS | | | 387.98 181 | 438.66 184 | 235.93 186 | 349.32 205 | 257.61 201 | 1081.50 213 | 82.45 205 | 637.74 200 | 257.12 199 | 738.54 203 | 134.25 210 | 308.00 196 | 531.93 205 | 135.11 199 | 142.17 197 |
|
| ETVMVS | | | 443.50 192 | 498.07 194 | 279.78 198 | 378.05 212 | 321.57 212 | 1163.68 218 | 87.12 206 | 897.50 218 | 269.81 204 | 822.83 215 | 141.20 215 | 334.53 203 | 568.21 210 | 154.21 202 | 183.26 209 |
|
| ADS-MVSNet2 | | | 443.33 190 | 482.84 190 | 324.79 209 | 434.94 222 | 387.73 220 | 1110.57 214 | 87.69 207 | 887.02 216 | 282.92 206 | 779.29 206 | 98.57 199 | 422.76 218 | 502.40 196 | 162.19 211 | 163.87 203 |
|
| ADS-MVSNet | | | 443.33 190 | 482.84 190 | 324.79 209 | 434.94 222 | 387.73 220 | 1110.57 214 | 87.69 207 | 887.02 216 | 282.92 206 | 779.29 206 | 98.57 199 | 422.76 218 | 502.40 196 | 162.19 211 | 163.87 203 |
|
| testing3-2 | | | 489.51 195 | 555.88 198 | 290.42 199 | 362.21 207 | 319.27 210 | 1424.84 225 | 88.81 209 | 964.80 220 | 309.62 212 | 879.13 218 | 174.38 224 | 363.98 205 | 643.82 219 | 155.29 203 | 188.01 210 |
|
| RPSCF | | | 394.81 183 | 445.63 185 | 242.35 189 | 276.55 197 | 253.63 199 | 1207.27 221 | 90.69 210 | 715.56 204 | 241.57 198 | 684.87 199 | 111.96 203 | 320.02 200 | 548.38 207 | 133.81 198 | 153.39 201 |
|
| testing3 | | | 418.10 186 | 469.06 188 | 265.23 196 | 335.69 203 | 290.63 206 | 1240.88 222 | 93.72 211 | 717.99 205 | 215.31 193 | 811.97 214 | 232.41 248 | 358.74 204 | 458.67 193 | 114.88 191 | 146.32 198 |
|
| MVP-Stereo | | | 473.58 193 | 533.67 195 | 293.33 200 | 376.00 210 | 318.00 208 | 1461.00 226 | 96.00 212 | 835.00 213 | 290.00 209 | 804.00 211 | 97.00 197 | 383.00 212 | 688.00 223 | 156.00 204 | 179.00 207 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 193 | 533.67 195 | 293.33 200 | 376.00 210 | 318.00 208 | 1461.00 226 | 96.00 212 | 835.00 213 | 290.00 209 | 804.00 211 | 97.00 197 | 383.00 212 | 688.00 223 | 156.00 204 | 179.00 207 |
|
| lessismore_v0 | | | | | 569.20 231 | 667.25 248 | 644.68 248 | | 96.45 214 | | 428.86 223 | 1514.17 250 | 204.21 243 | 756.58 244 | 1061.60 244 | 197.79 221 | 306.34 233 |
|
| EG-PatchMatch MVS | | | 437.03 189 | 493.12 193 | 268.77 197 | 264.80 194 | 260.20 202 | 1491.80 228 | 98.00 215 | 723.20 207 | 238.80 197 | 722.40 202 | 63.10 187 | 382.00 210 | 629.00 215 | 207.00 222 | 164.10 205 |
|
| Syy-MVS | | | 370.76 179 | 415.60 182 | 236.25 187 | 310.54 200 | 210.76 194 | 965.13 203 | 98.58 216 | 746.06 208 | 266.26 202 | 788.85 208 | 91.37 195 | 364.76 206 | 357.17 187 | 116.42 193 | 133.22 193 |
|
| myMVS_eth3d | | | 390.90 182 | 437.44 183 | 251.28 193 | 310.54 200 | 255.86 200 | 965.13 203 | 98.58 216 | 746.06 208 | 266.26 202 | 788.85 208 | 154.95 217 | 364.76 206 | 490.19 194 | 116.42 193 | 133.22 193 |
|
| door | | | | | | | | | 99.00 218 | | | | | | | | |
|
| WBMVS | | | 655.88 205 | 770.84 210 | 310.98 206 | 391.79 216 | 353.00 216 | 2280.68 238 | 99.17 219 | 1776.79 252 | 301.20 211 | 1123.23 234 | 187.34 234 | 390.28 214 | 620.39 214 | 156.98 206 | 189.66 212 |
|
| IterMVS | | | 615.05 203 | 691.66 206 | 385.23 213 | 516.40 225 | 454.80 225 | 1863.80 234 | 102.10 220 | 1142.20 231 | 364.10 219 | 1093.20 233 | 135.00 211 | 480.40 221 | 826.90 228 | 181.20 216 | 220.50 217 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| K. test v3 | | | 877.74 225 | 980.16 228 | 570.46 232 | 1316.85 271 | 813.15 257 | 2565.52 252 | 103.78 221 | 1509.49 247 | 548.33 236 | 1258.90 236 | 219.93 247 | 587.82 237 | 1102.37 252 | 196.30 220 | 310.42 234 |
|
| SixPastTwentyTwo | | | 773.62 212 | 869.37 218 | 486.35 225 | 603.45 229 | 547.15 239 | 2532.14 251 | 106.92 222 | 1434.95 238 | 428.08 222 | 1360.56 238 | 165.15 222 | 628.96 241 | 984.09 234 | 209.01 224 | 282.94 229 |
|
| PatchmatchNet |  | | 492.52 196 | 551.22 197 | 316.40 207 | 400.20 218 | 357.90 218 | 1277.10 223 | 115.80 223 | 1034.60 229 | 315.90 213 | 874.00 217 | 155.10 218 | 402.20 215 | 629.50 216 | 158.80 208 | 189.10 211 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| DELS-MVS | | | 514.57 198 | 587.73 201 | 295.12 202 | 343.03 204 | 328.09 215 | 1540.48 230 | 116.22 224 | 988.59 221 | 325.44 216 | 906.22 219 | 119.86 208 | 365.72 208 | 788.60 227 | 161.09 210 | 191.55 213 |
| 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 |
| SSC-MVS3.2 | | | 667.82 207 | 787.71 211 | 308.16 204 | 385.94 214 | 327.65 213 | 1718.51 231 | 117.00 225 | 1942.46 257 | 317.12 214 | 1488.73 248 | 183.89 225 | 404.82 216 | 763.70 225 | 172.02 214 | 192.01 214 |
|
| UBG | | | 667.82 207 | 787.71 211 | 308.16 204 | 385.94 214 | 327.65 213 | 1718.51 231 | 117.00 225 | 1942.46 257 | 317.12 214 | 1488.73 248 | 183.89 225 | 404.82 216 | 763.70 225 | 172.02 214 | 192.01 214 |
|
| mvs_anonymous | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
|
| casdiffmvs | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
| 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 | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
| 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 | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
|
| baseline1 | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
|
| casdiffmvs_mvg | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
| 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 | | | 774.90 213 | 882.28 219 | 452.77 215 | 636.50 239 | 537.20 231 | 2348.80 241 | 120.30 227 | 1504.30 240 | 474.40 225 | 1371.10 240 | 186.90 227 | 564.70 228 | 1078.90 245 | 219.30 225 | 256.40 219 |
|
| IterMVS-LS | | | 758.94 210 | 856.56 215 | 466.10 223 | 606.60 230 | 546.80 238 | 2309.90 239 | 122.20 234 | 1402.80 237 | 463.50 224 | 1348.20 237 | 192.60 237 | 574.60 236 | 1028.60 243 | 234.60 234 | 276.90 228 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 204 | 700.96 207 | 362.78 211 | 426.10 221 | 409.25 222 | 1822.69 233 | 124.42 235 | 1186.23 232 | 366.85 220 | 1079.42 231 | 190.60 236 | 451.78 220 | 930.72 232 | 181.59 217 | 227.30 218 |
| Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
| PVSNet | | 1207.94 6 | 829.56 223 | 937.18 226 | 506.69 227 | 645.55 246 | 585.72 241 | 2477.98 249 | 130.52 236 | 1578.29 248 | 509.50 233 | 1460.01 247 | 194.90 238 | 637.19 242 | 1170.78 253 | 267.07 238 | 297.17 231 |
|
| ACMH | | 993.80 5 | 967.92 228 | 1106.11 238 | 553.33 229 | 494.00 224 | 534.00 229 | 3581.00 256 | 136.00 237 | 1585.00 249 | 478.00 232 | 1871.00 255 | 90.00 192 | 839.00 247 | 1460.00 256 | 260.00 235 | 287.00 230 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 1242.93 241 | 1411.08 244 | 738.48 246 | 712.71 250 | 712.68 251 | 4168.17 261 | 136.50 238 | 2276.40 262 | 613.28 246 | 2368.60 262 | 161.61 220 | 1130.38 265 | 1964.54 265 | 297.88 241 | 372.39 242 |
|
| MVS_111021_LR | | | 1136.45 239 | 1298.72 242 | 649.64 237 | 756.17 252 | 726.26 253 | 3785.94 257 | 138.15 239 | 2190.64 261 | 629.63 247 | 2064.39 258 | 165.45 223 | 874.83 249 | 1678.43 261 | 279.70 239 | 347.82 240 |
|
| new-patchmatchnet | | | 766.12 211 | 859.03 216 | 487.38 226 | 595.68 227 | 536.14 230 | 2346.27 240 | 142.51 240 | 1488.08 239 | 422.43 221 | 1361.32 239 | 163.65 221 | 628.60 240 | 1003.74 242 | 207.61 223 | 297.41 232 |
|
| ACMMPR | | | 1296.60 243 | 1480.82 246 | 743.96 247 | 899.25 256 | 763.47 255 | 4305.47 262 | 143.90 241 | 2530.94 265 | 683.99 248 | 2346.34 261 | 201.65 241 | 1098.25 263 | 1920.59 264 | 295.21 240 | 370.16 241 |
|
| MVSTER | | | 890.06 226 | 1005.91 235 | 542.52 228 | 736.13 251 | 653.90 249 | 2616.56 253 | 145.22 242 | 1692.10 251 | 555.69 240 | 1554.72 251 | 266.25 249 | 660.02 243 | 1219.66 254 | 266.84 237 | 313.64 235 |
|
| ACMP | | 1246.57 7 | 1086.24 236 | 1235.17 240 | 639.45 236 | 596.53 228 | 639.91 247 | 3904.24 259 | 152.04 243 | 1851.54 254 | 566.58 241 | 1997.95 257 | 138.50 213 | 938.30 251 | 1605.46 258 | 303.70 244 | 340.14 237 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PVSNet_0 | | 1661.03 9 | 968.54 229 | 1066.82 237 | 673.70 242 | 706.94 249 | 695.69 250 | 2669.02 254 | 153.52 244 | 2108.17 260 | 605.54 242 | 1679.14 252 | 213.26 246 | 886.75 250 | 1236.76 255 | 229.01 233 | 438.67 247 |
|
| ACMM | | 1311.08 8 | 1165.06 240 | 1332.72 243 | 662.07 240 | 584.90 226 | 715.99 252 | 4373.59 263 | 153.99 245 | 1880.27 255 | 709.02 251 | 2316.97 259 | 188.63 235 | 939.89 252 | 1484.30 257 | 302.78 243 | 330.34 236 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MG-MVS | | | 1256.50 242 | 1432.00 245 | 730.00 245 | 610.00 231 | 760.00 254 | 4720.00 264 | 169.00 246 | 1920.00 256 | 723.00 253 | 2510.00 265 | 201.00 240 | 1050.00 262 | 1645.00 260 | 390.00 248 | 380.00 243 |
|
| TSAR-MVS + GP. | | | 1386.84 244 | 1622.84 248 | 678.81 243 | 952.13 258 | 840.17 259 | 5358.21 267 | 170.75 247 | 2650.47 266 | 713.54 252 | 2394.28 263 | 209.42 245 | 855.56 248 | 1854.36 263 | 302.42 242 | 340.71 238 |
|
| CSCG | | | 826.03 222 | 963.29 227 | 414.24 214 | 421.52 220 | 426.11 223 | 2230.35 237 | 179.52 248 | 1827.44 253 | 733.43 254 | 933.12 221 | 281.25 250 | 545.23 226 | 1800.35 262 | 262.64 236 | 271.38 227 |
|
| Gipuma | | | 689.75 209 | 767.00 209 | 458.00 222 | 613.00 237 | 549.00 240 | 1943.00 235 | 187.00 249 | 1230.00 233 | 518.00 234 | 1092.00 232 | 203.00 242 | 564.00 227 | 892.00 231 | 225.00 232 | 261.00 226 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 246 | 1886.82 250 | 481.89 224 | 847.73 253 | 830.16 258 | 7943.84 283 | 189.23 250 | 2398.83 263 | 691.73 250 | 2341.13 260 | 209.16 244 | 230.25 189 | 1999.25 266 | 360.46 246 | 385.25 244 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| test_0402 | | | 1110.00 238 | 1260.00 241 | 660.00 238 | 900.00 257 | 780.00 256 | 3300.00 255 | 210.00 251 | 2040.00 259 | 690.00 249 | 1950.00 256 | 300.00 253 | 810.00 246 | 1620.00 259 | 330.00 245 | 390.00 245 |
|
| tpmvs | | | 501.65 197 | 567.42 199 | 304.33 203 | 395.39 217 | 356.32 217 | 1512.04 229 | 216.53 252 | 994.15 222 | 350.16 218 | 804.16 213 | 119.38 207 | 380.98 209 | 555.14 209 | 159.87 209 | 175.69 206 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 249 | 2224.88 253 | 1163.39 260 | 1253.91 268 | 1434.22 275 | 7065.71 273 | 272.76 253 | 2472.29 264 | 1647.54 298 | 3538.72 270 | 200.37 239 | 1496.48 269 | 2575.17 271 | 997.45 288 | 559.48 250 |
|
| PMVS | | 863.65 3 | 957.08 227 | 1054.11 236 | 666.00 241 | 401.00 219 | 495.00 227 | 3790.00 258 | 279.00 254 | 1607.00 250 | 521.00 235 | 1745.00 253 | 90.00 192 | 1105.00 264 | 639.00 218 | 415.00 249 | 398.00 246 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| DPM-MVS | | | 3268.00 269 | 3762.89 272 | 1783.33 279 | 1756.00 282 | 1806.00 295 | 12319.00 306 | 307.00 255 | 6319.00 297 | 1557.00 289 | 5763.00 290 | 302.00 254 | 2609.00 292 | 5061.00 295 | 482.00 250 | 935.00 280 |
|
| OPM-MVS | | | 3268.00 269 | 3762.89 272 | 1783.33 279 | 1756.00 282 | 1806.00 295 | 12319.00 306 | 307.00 255 | 6319.00 297 | 1557.00 289 | 5763.00 290 | 302.00 254 | 2609.00 292 | 5061.00 295 | 482.00 250 | 935.00 280 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| test_0728_SECOND | | | | | 1451.45 268 | 1725.60 277 | 1598.35 281 | 9203.30 290 | 315.86 257 | | | | | 2023.43 279 | 3973.88 284 | 620.04 255 | 732.56 260 |
|
| test0726 | | | | | | 1725.60 277 | 1598.35 281 | 9203.30 290 | 315.86 257 | 5016.02 286 | 1363.85 278 | 4894.28 284 | 387.23 263 | | | | |
|
| SD-MVS | | | 2654.53 261 | 3055.56 266 | 1451.45 268 | 1725.60 277 | 1598.35 281 | 9203.30 290 | 315.86 257 | 5016.02 286 | 1363.85 278 | 4894.28 284 | 387.23 263 | 2023.43 279 | 3973.88 284 | 620.04 255 | 732.56 260 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| tpmrst | | | 2557.50 259 | 2847.12 262 | 1688.66 275 | 1784.08 285 | 1778.25 294 | 7445.50 280 | 342.14 260 | 4471.54 281 | 1534.55 285 | 4382.10 279 | 530.10 275 | 2361.21 286 | 4142.81 287 | 991.22 287 | 926.51 278 |
|
| DVP-MVS++ | | | 3981.10 279 | 4731.32 284 | 1730.42 277 | 2191.51 296 | 1949.98 299 | 16473.90 315 | 355.33 261 | 7172.90 308 | 1622.98 296 | 7879.79 306 | 434.33 266 | 2428.11 288 | 5762.12 298 | 689.04 260 | 813.18 266 |
|
| DVP-MVS | | | 3981.10 279 | 4731.32 284 | 1730.42 277 | 2191.51 296 | 1949.98 299 | 16473.90 315 | 355.33 261 | 7172.90 308 | 1622.98 296 | 7879.79 306 | 434.33 266 | 2428.11 288 | 5762.12 298 | 689.04 260 | 813.18 266 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| COLMAP_ROB | | 2144.59 11 | 1658.33 247 | 1869.33 249 | 1025.33 257 | 1030.00 266 | 1023.00 271 | 5311.00 266 | 359.00 263 | 3044.00 267 | 937.00 258 | 2892.00 266 | 332.00 257 | 1440.00 268 | 2312.00 268 | 607.00 252 | 613.00 253 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| AdaColmap |  | | 2570.77 260 | 2948.61 263 | 1437.24 267 | 1873.64 286 | 1526.60 278 | 7819.77 281 | 373.97 264 | 4970.45 284 | 1479.29 283 | 4648.46 281 | 525.80 274 | 1904.97 277 | 4150.42 288 | 695.69 265 | 880.14 276 |
|
| tmp_tt | | | 371.08 180 | 412.78 181 | 246.00 191 | 231.00 188 | 197.00 191 | 1293.00 224 | 376.00 265 | 756.00 210 | 609.00 243 | 71.00 159 | 106.00 202 | 195.00 186 | 102.00 165 | 171.00 213 | 346.00 239 |
|
| ZD-MVS | | | | | | 1584.00 274 | 1821.00 297 | | 378.00 266 | 3721.00 272 | 1231.00 273 | 1833.00 254 | 321.00 256 | 1224.00 266 | 2103.00 267 | 692.00 263 | |
|
| MVS-HIRNet | | | 2125.39 251 | 2452.68 254 | 1143.53 259 | 2938.33 314 | 1446.92 276 | 6083.19 268 | 391.74 267 | 3801.71 273 | 1202.10 272 | 3439.72 268 | 492.73 271 | 1304.35 267 | 3048.25 275 | 676.32 258 | 679.32 259 |
|
| F-COLMAP | | | 1878.17 248 | 2113.11 251 | 1173.33 261 | 1231.00 267 | 1174.00 272 | 6297.00 269 | 392.00 268 | 3356.00 270 | 1087.00 268 | 3082.00 267 | 361.00 261 | 1670.00 270 | 2523.00 270 | 689.00 259 | 676.00 258 |
|
| OpenMVS | | 2352.88 13 | 2263.08 253 | 2530.89 256 | 1459.67 270 | 1767.00 284 | 1591.00 280 | 7932.00 282 | 399.00 269 | 3643.00 271 | 1176.00 271 | 3569.00 271 | 297.00 252 | 1927.00 278 | 3302.00 276 | 693.00 264 | 861.00 272 |
|
| CHOSEN 280x420 | | | 2340.81 255 | 2643.03 258 | 1434.14 264 | 2025.55 293 | 1629.36 284 | 6542.40 270 | 412.49 270 | 4219.70 277 | 1547.02 286 | 4328.52 276 | 650.74 287 | 1798.26 273 | 3333.17 277 | 727.72 266 | 874.79 273 |
|
| CHOSEN 1792x2688 | | | 2340.81 255 | 2643.03 258 | 1434.14 264 | 2025.55 293 | 1629.36 284 | 6542.40 270 | 412.49 270 | 4219.70 277 | 1547.02 286 | 4328.52 276 | 650.74 287 | 1798.26 273 | 3333.17 277 | 727.72 266 | 874.79 273 |
|
| HyFIR lowres test | | | 2340.81 255 | 2643.03 258 | 1434.14 264 | 2025.55 293 | 1629.36 284 | 6542.40 270 | 412.49 270 | 4219.70 277 | 1547.02 286 | 4328.52 276 | 650.74 287 | 1798.26 273 | 3333.17 277 | 727.72 266 | 874.79 273 |
|
| gg-mvs-nofinetune | | | 594.69 200 | 605.37 202 | 562.67 230 | 617.29 238 | 500.33 228 | 772.30 192 | 413.12 273 | 579.21 191 | 552.71 237 | 567.40 187 | 662.54 292 | 531.67 222 | 503.93 198 | 779.80 270 | 656.02 254 |
|
| TSAR-MVS + MP. | | | 3528.01 272 | 4065.89 279 | 1914.35 282 | 2349.10 299 | 2141.30 304 | 12362.70 308 | 417.60 274 | 6717.80 303 | 1759.40 300 | 6497.50 293 | 518.18 273 | 2629.38 295 | 5164.32 297 | 806.40 277 | 972.38 285 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| SteuartSystems-ACMMP | | | 2891.50 266 | 3284.78 269 | 1711.67 276 | 1954.00 287 | 1655.00 287 | 10117.00 303 | 445.00 275 | 5102.00 289 | 1375.00 282 | 5126.00 288 | 351.00 260 | 2638.00 296 | 4402.00 291 | 691.00 262 | 842.00 270 |
| Skip Steuart: Steuart Systems R&D Blog. |
| PCF-MVS | | 4335.85 20 | 2272.23 254 | 2597.03 257 | 1297.84 262 | 1701.20 276 | 1332.37 273 | 8105.11 284 | 451.45 276 | 4031.84 275 | 1099.10 269 | 3966.50 274 | 467.45 269 | 1734.05 272 | 2701.68 273 | 848.94 279 | 827.11 269 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| TAPA-MVS | | 6309.84 21 | 3374.90 271 | 3806.99 274 | 2078.63 288 | 2535.47 304 | 2499.25 313 | 8816.16 288 | 456.05 277 | 6255.60 296 | 1664.52 299 | 6704.88 295 | 629.95 285 | 2768.38 297 | 6343.93 309 | 856.35 280 | 968.25 284 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| LF4IMVS | | | 2699.50 263 | 3049.67 265 | 1649.00 274 | 1755.00 281 | 1689.00 288 | 8330.00 285 | 464.00 278 | 4997.00 285 | 1528.00 284 | 4763.00 283 | 568.00 278 | 2296.00 285 | 4215.00 289 | 827.00 278 | 962.00 283 |
|
| Vis-MVSNet | | | 2877.42 265 | 3170.00 268 | 1999.67 286 | 1673.00 275 | 2042.00 303 | 8593.00 287 | 474.00 279 | 6452.00 299 | 1268.00 276 | 5125.00 287 | 339.00 258 | 3004.00 300 | 4222.00 290 | 384.00 247 | 953.00 282 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| PLC | | 2858.82 16 | 2192.92 252 | 2474.00 255 | 1349.67 263 | 1407.00 272 | 1356.00 274 | 7164.00 274 | 475.00 280 | 3970.00 274 | 1237.00 275 | 3765.00 273 | 451.00 268 | 1891.00 276 | 3006.00 274 | 791.00 275 | 802.00 263 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| 3Dnovator | | 2482.06 14 | 2531.17 258 | 2839.56 261 | 1606.00 272 | 1732.00 280 | 1557.00 279 | 8375.00 286 | 483.00 281 | 4370.00 280 | 1371.00 281 | 4200.00 275 | 350.00 259 | 2207.00 283 | 3877.00 283 | 798.00 276 | 1054.00 293 |
|
| FOURS1 | | | | | | 2643.17 305 | 2465.14 308 | 13996.40 310 | 493.26 282 | 7619.38 311 | 2107.24 304 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 289 | 2643.17 305 | 2465.14 308 | | 493.26 282 | | | | | 3088.29 305 | 6075.14 305 | 1078.39 297 | 1159.26 295 |
|
| No_MVS | | | | | 2237.56 289 | 2643.17 305 | 2465.14 308 | | 493.26 282 | | | | | 3088.29 305 | 6075.14 305 | 1078.39 297 | 1159.26 295 |
|
| test_one_0601 | | | | | | 2643.17 305 | 2465.14 308 | | 493.26 282 | 7619.38 311 | 2107.24 304 | 7416.93 302 | 610.24 282 | | | | |
|
| SED-MVS | | | 4062.74 282 | 4671.13 283 | 2237.56 289 | 2643.17 305 | 2465.14 308 | 13996.40 310 | 493.26 282 | 7619.38 311 | 2107.24 304 | 7416.93 302 | 610.24 282 | 3088.29 305 | 6075.14 305 | 1078.39 297 | 1159.26 295 |
|
| FPMVS | | | 1407.00 245 | 1495.59 247 | 1141.23 258 | 648.01 247 | 893.85 261 | 4124.00 260 | 503.81 287 | 3219.04 268 | 742.72 255 | 2498.84 264 | 157.98 219 | 1727.83 271 | 832.93 229 | 732.98 269 | 802.00 263 |
|
| GG-mvs-BLEND | | | | | 596.01 233 | 611.29 234 | 600.33 242 | 790.30 193 | 513.12 288 | | 552.71 237 | 567.40 187 | 662.54 292 | 531.67 222 | 503.93 198 | 779.80 270 | 656.02 254 |
|
| CR-MVSNet | | | 612.36 202 | 617.81 205 | 596.01 233 | 611.29 234 | 600.33 242 | 790.30 193 | 513.12 288 | 579.21 191 | 552.71 237 | 567.40 187 | 662.54 292 | 531.67 222 | 503.93 198 | 779.80 270 | 656.02 254 |
|
| IU-MVS | | | | | | 2725.60 310 | 2598.35 314 | | 515.86 290 | 7016.02 304 | 2363.85 308 | | | | 5973.88 301 | 1620.04 309 | 1732.56 305 |
|
| test_241102_TWO | | | | | | | | | 515.86 290 | 7016.02 304 | 2363.85 308 | 6894.28 296 | 887.23 300 | 3023.43 301 | 5973.88 301 | 1620.04 309 | 1732.56 305 |
|
| test_241102_ONE | | | | | | 2725.60 310 | 2598.35 314 | | 515.86 290 | 7016.02 304 | 2363.85 308 | 6894.28 296 | 887.23 300 | 3023.43 301 | | | |
|
| MSP-MVS | | | 4296.20 283 | 4911.12 287 | 2451.45 297 | 2725.60 310 | 2598.35 314 | 16203.30 314 | 515.86 290 | 7016.02 304 | 2363.85 308 | 6894.28 296 | 887.23 300 | 3023.43 301 | 5973.88 301 | 1620.04 309 | 1732.56 305 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| MVS_111021_HR | | | 3742.80 277 | 4330.34 280 | 1980.20 284 | 2484.31 302 | 2259.52 306 | 14973.80 313 | 515.90 294 | 6500.13 300 | 1949.21 303 | 6146.89 292 | 535.66 276 | 2593.66 291 | 4880.76 294 | 986.37 286 | 1087.43 294 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 262 | 3021.57 264 | 1618.12 273 | 2377.67 300 | 1751.39 293 | 8915.70 289 | 567.44 295 | 4569.74 282 | 1236.84 274 | 4615.63 280 | 513.23 272 | 2291.32 284 | 3515.48 280 | 882.39 281 | 811.66 265 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 268 | 3601.83 271 | 1814.72 281 | 2515.52 303 | 1941.53 298 | 10432.50 304 | 589.42 296 | 4789.45 283 | 1298.65 277 | 7677.31 305 | 578.35 279 | 2589.53 290 | 3611.78 282 | 923.52 284 | 913.10 277 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| RE-MVS-def | | | | 610.10 203 | | 610.10 232 | 610.10 245 | 610.10 186 | 610.10 297 | 610.10 197 | 610.10 244 | 610.10 193 | 610.10 280 | | 610.10 212 | 610.10 253 | 610.10 251 |
|
| SR-MVS | | | 610.10 201 | 610.10 203 | 610.10 235 | 610.10 232 | 610.10 245 | 610.10 186 | 610.10 297 | 610.10 197 | 610.10 244 | 610.10 193 | 610.10 280 | 610.10 238 | 610.10 212 | 610.10 253 | 610.10 251 |
|
| RPMNet | | | 787.26 220 | 829.13 213 | 661.63 239 | 885.90 254 | 895.90 262 | 455.98 184 | 610.10 297 | 1297.17 234 | 1002.26 266 | 1001.67 229 | 655.98 290 | 611.10 239 | 667.90 220 | 885.21 282 | 477.90 248 |
|
| 3Dnovator+ | | 3414.41 17 | 3146.67 267 | 3537.00 270 | 1975.67 283 | 2310.00 298 | 2005.00 302 | 10100.00 302 | 626.00 300 | 5753.00 290 | 1803.00 301 | 5179.00 289 | 487.00 270 | 2622.00 294 | 4550.00 292 | 1025.00 296 | 1300.00 300 |
|
| EGC-MVSNET | | | 2819.75 264 | 3096.89 267 | 1988.33 285 | 3105.00 315 | 2241.00 305 | 9480.00 294 | 640.00 301 | 4209.00 276 | 1583.00 291 | 4740.00 282 | 547.00 277 | 2797.00 298 | 2644.00 272 | 924.00 285 | 927.00 279 |
|
| JIA-IIPM | | | 804.30 221 | 835.64 214 | 710.26 244 | 885.90 254 | 895.90 262 | 455.98 184 | 668.73 302 | 1297.17 234 | 1002.26 266 | 1001.67 229 | 655.98 290 | 756.98 245 | 667.90 220 | 885.21 282 | 477.90 248 |
|
| ITE_SJBPF | | | | | 2014.00 287 | 1998.00 288 | 1992.00 301 | | 701.00 303 | 5989.00 291 | 1812.00 302 | 3612.00 272 | 650.00 286 | 2852.00 299 | 4601.00 293 | 1195.00 302 | 1198.00 299 |
|
| CLD-MVS | | | 7338.25 286 | 8341.00 289 | 4330.00 302 | 4902.00 318 | 4991.00 321 | 23318.00 318 | 728.00 304 | 14437.00 325 | 4378.00 317 | 13379.00 320 | 824.00 298 | 5708.00 316 | 11429.00 326 | 1674.00 313 | 2291.00 313 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| MAR-MVS | | | 3973.16 278 | 4387.92 281 | 2728.86 299 | 3345.27 316 | 3341.39 320 | 11403.90 305 | 798.76 305 | 6555.62 302 | 2569.29 313 | 6514.86 294 | 834.97 299 | 3237.43 309 | 5891.08 300 | 1577.54 308 | 1607.76 301 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| OMC-MVS | | | 5022.26 285 | 5748.82 288 | 2842.58 301 | 4905.27 319 | 3101.27 318 | 14933.60 312 | 812.24 306 | 9278.40 315 | 2959.29 315 | 8800.17 312 | 1092.24 312 | 3806.30 311 | 7568.54 317 | 1389.60 307 | 1620.18 303 |
|
| CMPMVS | | 2623.62 15 | 1983.08 250 | 2156.14 252 | 1463.89 271 | 1414.80 273 | 1517.00 277 | 5239.20 265 | 867.40 307 | 3310.30 269 | 1128.70 270 | 3489.90 269 | 366.75 262 | 2030.20 282 | 2427.60 269 | 1160.60 301 | 844.46 271 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| tpm2 | | | 3617.85 273 | 4007.23 275 | 2449.73 293 | 2012.71 289 | 1698.05 289 | 7351.19 276 | 869.29 308 | 6132.06 292 | 1588.28 292 | 8007.42 308 | 1281.09 314 | 3888.11 312 | 7472.04 313 | 1351.00 303 | 1763.02 309 |
|
| tpm cat1 | | | 3617.85 273 | 4007.23 275 | 2449.73 293 | 2012.71 289 | 1698.05 289 | 7351.19 276 | 869.29 308 | 6132.06 292 | 1588.28 292 | 8007.42 308 | 1281.09 314 | 3888.11 312 | 7472.04 313 | 1351.00 303 | 1763.02 309 |
|
| CostFormer | | | 3617.85 273 | 4007.23 275 | 2449.73 293 | 2012.71 289 | 1698.05 289 | 7351.19 276 | 869.29 308 | 6132.06 292 | 1588.28 292 | 8007.42 308 | 1281.09 314 | 3888.11 312 | 7472.04 313 | 1351.00 303 | 1763.02 309 |
|
| tpm | | | 3617.85 273 | 4007.23 275 | 2449.73 293 | 2012.71 289 | 1698.05 289 | 7351.19 276 | 869.29 308 | 6132.06 292 | 1588.28 292 | 8007.42 308 | 1281.09 314 | 3888.11 312 | 7472.04 313 | 1351.00 303 | 1763.02 309 |
|
| API-MVS | | | 4380.83 284 | 4906.56 286 | 2803.67 300 | 3844.00 317 | 3116.00 319 | 13454.00 309 | 901.00 312 | 6511.00 301 | 2794.00 314 | 7365.00 301 | 754.00 296 | 3634.00 310 | 6622.00 310 | 1914.00 314 | 1661.00 304 |
|
| ambc | | | | | 999.00 250 | 999.00 259 | 999.00 264 | 999.00 206 | 999.00 313 | | 999.00 259 | 999.00 222 | 999.00 305 | 999.00 255 | 999.00 235 | 999.00 289 | 999.00 286 |
|
| OurMVSNet-221017-0 | | | 999.00 230 | 999.00 229 | 999.00 250 | 999.00 259 | 999.00 264 | 999.00 206 | 999.00 313 | 999.00 223 | 999.00 259 | 999.00 222 | 999.00 305 | 999.00 255 | 999.00 235 | 999.00 289 | 999.00 286 |
|
| EPMVS | | | 999.00 230 | 999.00 229 | 999.00 250 | 999.00 259 | 999.00 264 | 999.00 206 | 999.00 313 | 999.00 223 | 999.00 259 | 999.00 222 | 999.00 305 | 999.00 255 | 999.00 235 | 999.00 289 | 999.00 286 |
|
| uanet_test | | | 1000.00 232 | 1000.00 231 | 1000.00 253 | 1000.00 262 | 1000.00 267 | 1000.00 209 | 1000.00 316 | 1000.00 225 | 1000.00 262 | 1000.00 225 | 1000.00 308 | 1000.00 258 | 1000.00 238 | 1000.00 292 | 1000.00 289 |
|
| sosnet | | | 1000.00 232 | 1000.00 231 | 1000.00 253 | 1000.00 262 | 1000.00 267 | 1000.00 209 | 1000.00 316 | 1000.00 225 | 1000.00 262 | 1000.00 225 | 1000.00 308 | 1000.00 258 | 1000.00 238 | 1000.00 292 | 1000.00 289 |
|
| USDC | | | 1000.00 232 | 1000.00 231 | 1000.00 253 | 1000.00 262 | 1000.00 267 | 1000.00 209 | 1000.00 316 | 1000.00 225 | 1000.00 262 | 1000.00 225 | 1000.00 308 | 1000.00 258 | 1000.00 238 | 1000.00 292 | 1000.00 289 |
|
| TinyColmap | | | 1000.00 232 | 1000.00 231 | 1000.00 253 | 1000.00 262 | 1000.00 267 | 1000.00 209 | 1000.00 316 | 1000.00 225 | 1000.00 262 | 1000.00 225 | 1000.00 308 | 1000.00 258 | 1000.00 238 | 1000.00 292 | 1000.00 289 |
|
| Patchmtry | | | 1090.75 237 | 1198.88 239 | 766.38 248 | 1290.90 269 | 485.90 226 | 2423.98 248 | 1267.30 320 | 1297.17 234 | 923.90 256 | 923.40 220 | 1215.54 313 | 990.23 253 | 667.90 220 | 779.80 270 | 823.02 268 |
|
| PatchT | | | 856.34 224 | 860.99 217 | 842.38 249 | 1290.90 269 | 880.90 260 | 790.30 193 | 1267.30 320 | 579.21 191 | 923.90 256 | 567.40 187 | 662.54 292 | 990.23 253 | 887.56 230 | 779.80 270 | 656.02 254 |
|
| LS3D | | | 7684.71 287 | 8776.23 290 | 4410.16 303 | 5298.55 320 | 5631.53 322 | 34329.90 320 | 1504.57 322 | 11554.00 324 | 3896.41 316 | 15111.00 321 | 812.19 297 | 5985.63 317 | 3516.20 281 | 2963.23 316 | 1613.31 302 |
|
| CNLPA | | | 10738.67 296 | 11772.44 299 | 7637.33 304 | 9120.00 322 | 8206.00 323 | 22252.00 317 | 2010.00 323 | 24984.00 326 | 7458.00 319 | 22596.00 323 | 2940.00 319 | 10260.00 325 | 11100.00 325 | 3492.00 317 | 4446.00 315 |
|
| GST-MVS | | | 4000.00 281 | 4533.33 282 | 2400.00 292 | 2400.00 301 | 2400.00 307 | 7200.00 275 | 2400.00 324 | 7200.00 310 | 2400.00 312 | 7200.00 300 | 2400.00 318 | 2400.00 287 | 7200.00 311 | 2400.00 315 | 2400.00 314 |
|
| MVE | | 10021.00 22 | 10550.67 295 | 10002.44 298 | 12195.33 312 | 6242.00 321 | 8768.00 324 | 30896.00 319 | 4451.00 325 | 10331.00 323 | 6247.00 318 | 18296.00 322 | 283.00 251 | 21484.00 326 | 7364.00 312 | 5912.00 318 | 6334.00 316 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| LTVRE_ROB | | 20565.47 23 | 23378.08 297 | 22805.00 300 | 25097.33 313 | 15500.00 330 | 19201.00 332 | 42712.00 321 | 6055.00 326 | 38388.00 327 | 16926.00 327 | 38534.00 324 | 7071.00 320 | 35653.00 327 | 29475.00 327 | 10584.00 326 | 20438.00 325 |
| 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 | | | 32606.17 298 | 34443.44 301 | 27094.33 314 | 29249.00 331 | 25246.00 333 | 51144.00 322 | 6705.00 327 | 42886.00 328 | 22888.00 328 | 48534.00 325 | 13263.00 328 | 37507.00 328 | 79298.00 328 | 16024.00 327 | 18530.00 324 |
|
| ZNCC-MVS | | | 9999.00 288 | 9999.00 291 | 9999.00 305 | 9999.00 323 | 9999.00 325 | 9999.00 295 | 9999.00 328 | 9999.00 316 | 9999.00 320 | 9999.00 313 | 9999.00 321 | 9999.00 318 | 9999.00 318 | 9999.00 319 | 9999.00 317 |
|
| patch_mono-2 | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| dcpmvs_2 | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| DCPMVS | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| UA-Net | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| uncertanet | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| uanet | | | 10000.00 289 | 10000.00 292 | 10000.00 306 | 10000.00 324 | 10000.00 326 | 10000.00 296 | 10000.00 329 | 10000.00 317 | 10000.00 321 | 10000.00 314 | 10000.00 322 | 10000.00 319 | 10000.00 319 | 10000.00 320 | 10000.00 318 |
|
| 114514_t | | | 99999.00 299 | 99999.00 302 | 99999.00 315 | 99999.00 332 | 99999.00 334 | 99999.00 323 | 99999.00 335 | 99999.00 329 | 99999.00 329 | 99999.00 326 | 99999.00 329 | 99999.00 329 | 99999.00 329 | 99999.00 328 | 99999.00 326 |
|
| PHI-MVS | | | 99999.00 299 | 99999.00 302 | 99999.00 315 | 99999.00 332 | 99999.00 334 | 99999.00 323 | 99999.00 335 | 99999.00 329 | 99999.00 329 | 99999.00 326 | 99999.00 329 | 99999.00 329 | 99999.00 329 | 99999.00 328 | 99999.00 326 |
|
| XVG-OURS-SEG-HR | | | 999999.00 303 | 999999.00 304 | 999999.00 317 | 999999.00 334 | 999999.00 336 | 999999.00 325 | 999999.00 337 | 999999.00 331 | 999999.00 331 | 999999.00 328 | 999999.00 331 | 999999.00 331 | 999999.00 331 | 999999.00 330 | 999999.00 328 |
|
| XVG-OURS | | | 999999.00 303 | 999999.00 304 | 999999.00 317 | 999999.00 334 | 999999.00 336 | 999999.00 325 | 999999.00 337 | 999999.00 331 | 999999.00 331 | 999999.00 328 | 999999.00 331 | 999999.00 331 | 999999.00 331 | 999999.00 330 | 999999.00 328 |
|
| XVG-ACMP-BASELINE | | | 999999.00 303 | 999999.00 304 | 999999.00 317 | 999999.00 334 | 999999.00 336 | 999999.00 325 | 999999.00 337 | 999999.00 331 | 999999.00 331 | 999999.00 328 | 999999.00 331 | 999999.00 331 | 999999.00 331 | 999999.00 330 | 999999.00 328 |
|
| MVSMamba_PlusPlus | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MGCFI-Net | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| sasdasda | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| dmvs_re | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| SDMVSNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| dmvs_testset | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| sd_testset | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| balanced_conf03 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MonoMVSNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test2506 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test1111 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| ECVR-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test_blank | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| tt0805 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Anonymous20240521 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| cl22 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| miper_ehance_all_eth | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| miper_enhance_ethall | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| cl____ | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| DIV-MVS_self_test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| eth_miper_zixun_eth | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| UniMVSNet_ETH3D | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| miper_lstm_enhance | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| D2MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test_yl | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| thisisatest0530 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Anonymous20240529 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Anonymous202405211 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| DCV-MVSNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| tttt0517 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| our_test_3 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| thisisatest0515 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| ppachtmachnet_test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| SMA-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| 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 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| tfpnnormal | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| tfpn200view9 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| c3_l | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| IterMVS-SCA-FT | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MTGPA | | | | | | | | | 10000000.00 340 | | | | | | | | |
|
| pmmvs6 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| pmmvs5 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Anonymous20231211 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| pmmvs-eth3d | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Anonymous20231206 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MTAPA | | | 833442.10 302 | 1111233.77 308 | 67.09 158 | 65.59 165 | 64.81 168 | 284.50 167 | 10000000.00 340 | 219.97 170 | 59.62 166 | 229.89 174 | 12.72 159 | 103.00 179 | 203.67 180 | 27.93 159 | 33.46 158 |
|
| MTMP | | | | | | | | 10000000.00 328 | 10000000.00 340 | | | | | | | | |
|
| SCA | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Patchmatch-test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Patchmatch-RL test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| canonicalmvs | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| anonymousdsp | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| FIs | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| FC-MVSNet-test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| sosnet-low-res | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| AllTest | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| TestCases | | | | | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| RRT-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| mamv4 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| HPM-MVS++ | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| XVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| pm-mvs1 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| X-MVStestdata | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| APDe-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| pmmvs4 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test-LLR | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| TESTMET0.1,1 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test-mter | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| testgi | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test20.03 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| thres600view7 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MP-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| thres400 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test123 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| thres200 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| test0.0.03 1 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| pmmvs3 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| EMVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| E-PMN | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PGM-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MCST-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| MVS_Test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PMMVS2 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PM-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| HQP_MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| plane_prior5 | | | | | | | | | 10000000.00 340 | | | | | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| mPP-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| mvsmamba | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| HPM-MVS_fast | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| HPM-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| LGP-MVS_train | | | | | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| EPNet_dtu | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP3-MVS | | | | | | | | | 10000000.00 340 | | | | | | | 10000000.00 333 | |
|
| CNVR-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| NCCC | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| CP-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| CPTT-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| HQP-MVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| IS-MVSNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PAPM_NR | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PAPR | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PatchMatch-RL | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| TDRefinement | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| EPP-MVSNet | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PMMVS | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| PAPM | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| ACMMP | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
| 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 | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| wuyk23d | | | 10000000.00 306 | 10000000.00 309 | 10000000.00 320 | 10000000.00 337 | 10000000.00 339 | 10000000.00 328 | 10000000.00 340 | 10000000.00 334 | 10000000.00 334 | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | 10000000.00 333 | 10000000.00 331 |
|
| APD-MVS | | | 1000000000.00 415 | 1000000000.00 418 | 1000000000.00 431 | 1000000000.00 456 | 1000000000.00 456 | 1000000000.00 442 | 1000000000.00 456 | 1000000000.00 449 | 1000000000.00 450 | 1000000000.00 447 | 1000000000.00 452 | 1000000000.00 450 | 1000000000.00 449 | 1000000000.00 448 | 1000000000.00 446 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 198 | | | | | | | | 422.23 191 | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 311 | 2107.24 304 | 7416.93 302 | 610.24 282 | 3088.29 305 | 6075.14 305 | 1078.39 297 | 1159.26 295 |
|
| eth-test2 | | | | | | 1.42 91 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 337 | | | | | | | | | | | |
|
| OPU-MVS | | | | | 2451.45 297 | 2725.60 310 | 2598.35 314 | 9203.30 290 | | | | 6894.28 296 | 887.23 300 | 3023.43 301 | 5973.88 301 | 1620.04 309 | 1732.56 305 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 286 | 1363.85 278 | 4894.28 284 | 387.23 263 | 2023.43 279 | 3973.88 284 | 620.04 255 | 732.56 260 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 331 |
|
| test_part2 | | | | | | 10000000.00 337 | 10000000.00 339 | | | | 10000000.00 334 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 334 | | | | 10000000.00 331 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 334 | | | | |
|
| test_post1 | | | | | | | | 10000000.00 328 | | | | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | 10000000.00 334 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 331 | 10000000.00 334 | 10000000.00 334 | | | |
|
| gm-plane-assit | | | | | | 611.29 234 | 600.33 242 | | | 579.21 191 | | 567.40 187 | | 531.67 222 | 503.93 198 | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| 新几何2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 337 | 10000000.00 339 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 337 | 10000000.00 339 | | | | | | 10000000.00 334 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 331 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 339 | | | 10000000.00 334 | 10000000.00 334 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 328 | | 10000000.00 334 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 337 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 85 | 2.00 123 | | 2.00 124 | | | | | | 2.00 122 | |
|
| HQP5-MVS | | | | | | | 10000000.00 339 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 337 | | 10000000.00 328 | | 10000000.00 334 | 10000000.00 334 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 337 | | 10000000.00 328 | | 10000000.00 334 | 10000000.00 334 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 334 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 334 | | | 10000000.00 334 | | | 10000000.00 331 |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 334 | | | | |
|
| NP-MVS | | | | | | 10000000.00 337 | 10000000.00 339 | | | | | 10000000.00 331 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 145 | 9.99 143 | | 9.99 144 | 9.99 143 | | 9.99 145 | | 9.99 141 | | 9.99 144 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 333 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 333 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 304 | | | | |
|
