| fmvsm_s_conf0.5_n_7 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_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 |
|
| 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 44 | 0.30 45 | 0.30 49 | 0.30 56 | 0.30 56 | 0.30 56 | 0.30 57 | 0.30 56 | 0.30 55 | 0.30 53 | 0.30 55 | 0.30 56 | 0.30 54 | 0.30 54 | 0.30 54 |
|
| hse-mvs2 | | | 0.30 44 | 0.30 45 | 0.30 49 | 0.30 56 | 0.30 56 | 0.30 56 | 0.30 57 | 0.30 56 | 0.30 55 | 0.30 53 | 0.30 55 | 0.30 56 | 0.30 54 | 0.30 54 | 0.30 54 |
|
| CL-MVSNet_self_test | | | 0.30 44 | 0.30 45 | 0.30 49 | 0.30 56 | 0.30 56 | 0.30 56 | 0.30 57 | 0.30 56 | 0.30 55 | 0.30 53 | 0.30 55 | 0.30 56 | 0.30 54 | 0.30 54 | 0.30 54 |
|
| AUN-MVS | | | 0.30 44 | 0.30 45 | 0.30 49 | 0.30 56 | 0.30 56 | 0.30 56 | 0.30 57 | 0.30 56 | 0.30 55 | 0.30 53 | 0.30 55 | 0.30 56 | 0.30 54 | 0.30 54 | 0.30 54 |
|
| LCM-MVSNet | | | 0.37 48 | 0.36 49 | 0.37 53 | 0.37 60 | 0.37 60 | 0.37 60 | 0.32 61 | 0.37 60 | 0.37 59 | 0.37 57 | 0.37 59 | 0.37 60 | 0.37 58 | 0.37 58 | 0.37 58 |
|
| v144192 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v1921920 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v1192 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v1144 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v148 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v7n | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v1240 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v8 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v10 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| v2v482 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| V42 | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| GA-MVS | | | 0.40 49 | 0.40 50 | 0.40 54 | 0.40 61 | 0.40 61 | 0.40 61 | 0.40 63 | 0.40 61 | 0.40 60 | 0.40 58 | 0.40 60 | 0.40 61 | 0.40 59 | 0.40 59 | 0.40 59 |
|
| Fast-Effi-MVS+ | | | 0.41 61 | 0.40 50 | 0.41 66 | 0.41 73 | 0.41 73 | 0.41 73 | 0.35 62 | 0.41 73 | 0.41 72 | 0.41 70 | 0.41 72 | 0.41 73 | 0.41 71 | 0.41 71 | 0.41 71 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 62 | 0.44 63 | 0.44 67 | 0.44 74 | 0.44 74 | 0.44 74 | 0.44 75 | 0.44 74 | 0.44 73 | 0.44 71 | 0.44 73 | 0.44 74 | 0.44 72 | 0.44 72 | 0.44 72 |
|
| Effi-MVS+ | | | 0.58 63 | 0.56 64 | 0.62 70 | 0.53 75 | 0.62 77 | 0.53 75 | 0.53 76 | 0.53 75 | 0.62 76 | 0.62 74 | 0.53 74 | 0.62 77 | 0.62 74 | 0.53 73 | 0.62 75 |
|
| KD-MVS_self_test | | | 0.60 65 | 0.60 65 | 0.60 69 | 0.60 76 | 0.60 76 | 0.60 77 | 0.60 77 | 0.60 76 | 0.60 75 | 0.60 73 | 0.60 75 | 0.60 76 | 0.60 73 | 0.60 75 | 0.60 74 |
|
| EIA-MVS | | | 0.62 66 | 0.62 67 | 0.62 70 | 0.62 77 | 0.62 77 | 0.62 78 | 0.62 78 | 0.62 77 | 0.62 76 | 0.62 74 | 0.62 76 | 0.62 77 | 0.62 74 | 0.62 76 | 0.62 75 |
|
| ETV-MVS | | | 0.62 66 | 0.62 67 | 0.62 70 | 0.62 77 | 0.62 77 | 0.62 78 | 0.62 78 | 0.62 77 | 0.62 76 | 0.62 74 | 0.62 76 | 0.62 77 | 0.62 74 | 0.62 76 | 0.62 75 |
|
| CS-MVS | | | 0.62 66 | 0.62 67 | 0.62 70 | 0.62 77 | 0.62 77 | 0.62 78 | 0.62 78 | 0.62 77 | 0.62 76 | 0.62 74 | 0.62 76 | 0.62 77 | 0.62 74 | 0.62 76 | 0.62 75 |
|
| SPE-MVS-test | | | 0.62 66 | 0.62 67 | 0.62 70 | 0.62 77 | 0.62 77 | 0.62 78 | 0.62 78 | 0.62 77 | 0.62 76 | 0.62 74 | 0.62 76 | 0.62 77 | 0.62 74 | 0.62 76 | 0.62 75 |
|
| EC-MVSNet | | | 0.62 66 | 0.62 67 | 0.62 70 | 0.62 77 | 0.62 77 | 0.62 78 | 0.62 78 | 0.62 77 | 0.62 76 | 0.62 74 | 0.62 76 | 0.62 77 | 0.62 74 | 0.62 76 | 0.62 75 |
|
| Effi-MVS+-dtu | | | 0.59 64 | 0.61 66 | 0.53 68 | 0.68 82 | 0.53 75 | 0.53 75 | 0.68 83 | 0.68 82 | 0.53 74 | 0.53 72 | 0.68 81 | 0.53 75 | 0.68 80 | 0.53 73 | 0.53 73 |
|
| CDS-MVSNet | | | 0.88 71 | 0.88 72 | 0.88 76 | 0.88 83 | 0.88 83 | 0.88 83 | 0.88 84 | 0.88 83 | 0.88 82 | 0.88 80 | 0.88 82 | 0.88 83 | 0.88 81 | 0.88 81 | 0.88 81 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 71 | 0.88 72 | 0.88 76 | 0.88 83 | 0.88 83 | 0.88 83 | 0.88 84 | 0.88 83 | 0.88 82 | 0.88 80 | 0.88 82 | 0.88 83 | 0.88 81 | 0.88 81 | 0.88 81 |
|
| LCM-MVSNet-Re | | | 0.89 73 | 0.89 74 | 0.89 78 | 0.89 85 | 0.89 85 | 0.89 85 | 0.89 86 | 0.89 85 | 0.89 84 | 0.89 82 | 0.89 84 | 0.89 85 | 0.89 83 | 0.89 83 | 0.89 83 |
|
| DeepMVS_CX |  | | | | 1.00 79 | 1.00 86 | 1.00 86 | | 1.00 87 | 1.00 86 | 1.00 85 | 1.00 83 | 1.00 85 | 1.00 86 | 1.00 84 | 1.00 84 | 1.00 84 |
|
| MDA-MVSNet-bldmvs | | | 1.20 74 | 1.20 75 | 1.20 80 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 89 | 1.20 87 | 1.20 86 | 1.20 84 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 85 | 1.20 85 |
|
| YYNet1 | | | 1.20 74 | 1.20 75 | 1.20 80 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 89 | 1.20 87 | 1.20 86 | 1.20 84 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 85 | 1.20 85 |
|
| MDA-MVSNet_test_wron | | | 1.20 74 | 1.20 75 | 1.20 80 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 89 | 1.20 87 | 1.20 86 | 1.20 84 | 1.20 86 | 1.20 87 | 1.20 85 | 1.20 85 | 1.20 85 |
|
| KD-MVS_2432*1600 | | | 1.30 77 | 1.30 78 | 1.30 83 | 1.30 90 | 1.30 91 | 1.30 89 | 1.30 92 | 1.30 90 | 1.30 89 | 1.30 87 | 1.30 89 | 1.30 90 | 1.30 88 | 1.30 88 | 1.30 88 |
|
| miper_refine_blended | | | 1.30 77 | 1.30 78 | 1.30 83 | 1.30 90 | 1.30 91 | 1.30 89 | 1.30 92 | 1.30 90 | 1.30 89 | 1.30 87 | 1.30 89 | 1.30 90 | 1.30 88 | 1.30 88 | 1.30 88 |
|
| eth-test2 | | | | | | 1.42 92 | | | | | | | | | | | |
|
| EI-MVSNet-UG-set | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| EI-MVSNet-Vis-set | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| EI-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| Regformer | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| CVMVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| EU-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| PS-CasMVS | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| PEN-MVS | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| TransMVSNet (Re) | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| DTE-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| DU-MVS | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| UniMVSNet (Re) | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| CP-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| WR-MVS_H | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| WR-MVS | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| NR-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| Baseline_NR-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| MVSFormer | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| jason | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
| jason: jason. |
| lupinMVS | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| test_djsdf | | | 1.42 79 | 1.42 80 | 1.42 85 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 94 | 1.42 92 | 1.42 91 | 1.42 89 | 1.42 91 | 1.42 92 | 1.42 90 | 1.42 90 | 1.42 90 |
|
| reproduce_monomvs | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| mmtdpeth | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| reproduce_model | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| reproduce-ours | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| our_new_method | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| mmdepth | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| monomultidepth | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| mvs5depth | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| MVStest1 | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| ttmdpeth | | | 1.48 102 | 1.48 103 | 1.48 108 | 1.48 116 | 1.48 116 | 1.48 114 | 1.48 119 | 1.48 115 | 1.48 114 | 1.48 112 | 1.48 114 | 1.48 115 | 1.48 113 | 1.48 113 | 1.48 113 |
|
| alignmvs | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| nrg030 | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| LFMVS | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| VDD-MVS | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| VDDNet | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| VPNet | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| VNet | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| VPA-MVSNet | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| cascas | | | 2.00 112 | 2.00 113 | 2.00 118 | 2.00 126 | 2.00 126 | 2.00 124 | 2.00 129 | 2.00 125 | 2.00 124 | 2.00 122 | 2.00 124 | 2.00 125 | 2.00 123 | 2.00 123 | 2.00 123 |
|
| UnsupCasMVSNet_eth | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| UnsupCasMVSNet_bld | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| WTY-MVS | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| HY-MVS | | 5.90 1 | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| sss | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| Test_1112_low_res | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| 1112_ss | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| ab-mvs-re | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| ab-mvs | | | 5.90 121 | 5.90 122 | 5.90 127 | 5.90 135 | 5.90 135 | 5.90 134 | 5.90 141 | 5.90 135 | 5.90 133 | 5.90 131 | 5.90 135 | 5.90 134 | 5.90 132 | 5.90 135 | 5.90 135 |
|
| CDPH-MVS | | | 6.66 130 | 6.66 131 | 6.66 136 | 6.66 144 | 6.66 144 | 6.66 143 | 6.66 150 | 6.66 144 | 6.66 142 | 6.66 140 | 6.66 144 | 6.66 143 | 6.66 141 | 6.66 144 | 6.66 144 |
|
| MDTV_nov1_ep13 | | | | 9.99 132 | | 9.99 145 | 9.99 146 | 9.99 144 | 9.99 152 | 9.99 145 | 9.99 144 | 9.99 141 | 9.99 146 | 9.99 145 | 9.99 142 | 9.99 146 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| xiu_mvs_v2_base | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| xiu_mvs_v1_base | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| xiu_mvs_v1_base_debi | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| cdsmvs_eth3d_5k | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| pcd_1.5k_mvsjas | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| PS-MVSNAJss | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| PS-MVSNAJ | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| jajsoiax | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| mvs_tets | | | 10.28 131 | 10.28 133 | 10.28 138 | 10.28 146 | 10.28 148 | 10.28 146 | 10.28 153 | 10.28 147 | 10.28 146 | 10.28 142 | 10.28 148 | 10.28 146 | 10.28 144 | 10.28 147 | 10.28 146 |
|
| dp | | | 87.20 150 | 113.80 154 | 7.42 137 | 10.50 156 | 8.88 145 | 298.82 171 | 2.70 138 | 510.35 190 | 7.79 143 | 172.93 164 | 3.37 133 | 9.16 144 | 14.00 155 | 3.71 133 | 4.23 133 |
|
| SR-MVS-dyc-post | | | 11.55 141 | 11.55 143 | 11.55 150 | 11.55 157 | 11.55 159 | 11.55 156 | 11.55 165 | 11.55 157 | 11.55 157 | 11.55 152 | 11.55 159 | 11.55 156 | 11.55 154 | 11.55 157 | 11.55 156 |
|
| test_method | | | 18.29 143 | 20.89 145 | 10.50 148 | 15.00 158 | 13.00 160 | 55.00 163 | 3.00 139 | 34.00 160 | 11.50 156 | 32.50 154 | 5.00 134 | 13.50 157 | 27.00 158 | 5.00 134 | 5.00 134 |
|
| XXY-MVS | | | 15.00 142 | 15.00 144 | 15.00 151 | 15.00 158 | 15.00 161 | 15.00 157 | 15.00 167 | 15.00 158 | 15.00 159 | 15.00 153 | 15.00 163 | 15.00 158 | 15.00 156 | 15.00 159 | 15.00 158 |
|
| GeoE | | | 19.41 144 | 22.09 146 | 11.37 149 | 17.21 160 | 11.30 158 | 50.50 162 | 4.30 140 | 33.60 159 | 11.70 158 | 44.50 159 | 7.30 145 | 18.90 159 | 22.60 157 | 7.10 145 | 3.90 132 |
|
| BH-w/o | | | 40.00 145 | 40.00 147 | 40.00 153 | 40.00 161 | 40.00 162 | 40.00 158 | 40.00 186 | 40.00 161 | 40.00 161 | 40.00 155 | 40.00 180 | 40.00 161 | 40.00 159 | 40.00 173 | 40.00 169 |
|
| BH-untuned | | | 40.00 145 | 40.00 147 | 40.00 153 | 40.00 161 | 40.00 162 | 40.00 158 | 40.00 186 | 40.00 161 | 40.00 161 | 40.00 155 | 40.00 180 | 40.00 161 | 40.00 159 | 40.00 173 | 40.00 169 |
|
| BH-RMVSNet | | | 40.00 145 | 40.00 147 | 40.00 153 | 40.00 161 | 40.00 162 | 40.00 158 | 40.00 186 | 40.00 161 | 40.00 161 | 40.00 155 | 40.00 180 | 40.00 161 | 40.00 159 | 40.00 173 | 40.00 169 |
|
| TR-MVS | | | 40.00 145 | 40.00 147 | 40.00 153 | 40.00 161 | 40.00 162 | 40.00 158 | 40.00 186 | 40.00 161 | 40.00 161 | 40.00 155 | 40.00 180 | 40.00 161 | 40.00 159 | 40.00 173 | 40.00 169 |
|
| GBi-Net | | | 44.67 149 | 49.24 151 | 30.96 152 | 47.53 165 | 47.57 166 | 126.09 164 | 8.00 151 | 76.99 165 | 26.09 160 | 73.50 161 | 11.27 158 | 30.55 160 | 61.12 163 | 12.58 158 | 14.75 157 |
|
| MTAPA | | | 833442.10 303 | 1111233.77 309 | 67.09 159 | 65.59 166 | 64.81 169 | 284.50 168 | 10000000.00 341 | 219.97 171 | 59.62 167 | 229.89 175 | 12.72 160 | 103.00 180 | 203.67 181 | 27.93 160 | 33.46 159 |
|
| MP-MVS-pluss | | | 833433.63 302 | 1111219.60 308 | 75.70 163 | 74.28 167 | 73.29 170 | 284.50 168 | 11.35 163 | 238.58 172 | 65.86 168 | 255.35 180 | 14.55 161 | 115.69 182 | 10000000.00 335 | 31.94 161 | 38.12 167 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 156 | 133.18 158 | 75.70 163 | 74.28 167 | 73.29 170 | 284.50 168 | 11.35 163 | 238.58 172 | 65.86 168 | 255.35 180 | 14.55 161 | 115.69 182 | 222.18 182 | 31.94 161 | 38.12 167 |
|
| CANet | | | 110.62 153 | 124.04 155 | 70.34 160 | 82.03 169 | 74.27 172 | 325.54 172 | 25.25 171 | 207.16 168 | 69.28 170 | 194.38 165 | 27.53 166 | 95.79 174 | 147.76 168 | 37.43 163 | 40.97 173 |
|
| CANet_DTU | | | 110.62 153 | 124.04 155 | 70.34 160 | 82.03 169 | 74.27 172 | 325.54 172 | 25.25 171 | 207.16 168 | 69.28 170 | 194.38 165 | 27.53 166 | 95.79 174 | 147.76 168 | 37.43 163 | 40.97 173 |
|
| UGNet | | | 110.62 153 | 124.04 155 | 70.34 160 | 82.03 169 | 74.27 172 | 325.54 172 | 25.25 171 | 207.16 168 | 69.28 170 | 194.38 165 | 27.53 166 | 95.79 174 | 147.76 168 | 37.43 163 | 40.97 173 |
| 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 |
| new_pmnet | | | 88.14 151 | 98.62 152 | 56.70 157 | 98.14 172 | 56.07 167 | 246.79 166 | 15.37 168 | 148.06 166 | 50.77 165 | 143.13 162 | 23.35 164 | 62.65 165 | 93.26 164 | 68.71 183 | 51.38 179 |
|
| N_pmnet | | | 88.14 151 | 98.62 152 | 56.70 157 | 98.14 172 | 56.07 167 | 246.79 166 | 15.37 168 | 148.06 166 | 50.77 165 | 143.13 162 | 23.35 164 | 62.65 165 | 93.26 164 | 68.71 183 | 51.38 179 |
|
| DSMNet-mixed | | | 131.33 164 | 143.00 166 | 96.33 175 | 99.00 174 | 81.00 175 | 201.00 165 | 45.00 191 | 335.00 184 | 99.00 183 | 251.00 179 | 38.00 179 | 110.00 181 | 120.00 167 | 99.00 189 | 98.00 185 |
|
| FMVSNet5 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| test1 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| FMVSNet3 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| FMVSNet2 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| FMVSNet1 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| MIMVSNet1 | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| MIMVSNet | | | 124.76 157 | 140.93 159 | 76.26 165 | 107.44 175 | 100.17 179 | 329.88 175 | 27.12 177 | 259.44 177 | 74.30 173 | 204.34 168 | 30.74 169 | 92.41 167 | 196.98 171 | 38.15 166 | 36.19 160 |
|
| PVSNet_Blended_VisFu | | | 136.90 165 | 155.40 167 | 81.40 172 | 111.00 182 | 96.20 176 | 407.00 182 | 25.90 174 | 251.60 174 | 85.10 180 | 240.50 176 | 37.00 176 | 99.90 177 | 199.80 178 | 40.70 177 | 48.10 176 |
|
| PVSNet_BlendedMVS | | | 136.90 165 | 155.40 167 | 81.40 172 | 111.00 182 | 96.20 176 | 407.00 182 | 25.90 174 | 251.60 174 | 85.10 180 | 240.50 176 | 37.00 176 | 99.90 177 | 199.80 178 | 40.70 177 | 48.10 176 |
|
| PVSNet_Blended | | | 136.90 165 | 155.40 167 | 81.40 172 | 111.00 182 | 96.20 176 | 407.00 182 | 25.90 174 | 251.60 174 | 85.10 180 | 240.50 176 | 37.00 176 | 99.90 177 | 199.80 178 | 40.70 177 | 48.10 176 |
|
| FE-MVS | | | 207.10 169 | 234.26 171 | 125.61 177 | 180.34 185 | 153.23 187 | 635.64 189 | 30.05 184 | 378.38 186 | 127.68 185 | 377.08 183 | 48.95 185 | 154.43 185 | 266.67 183 | 63.56 181 | 69.18 182 |
|
| BP-MVS1 | | | 202.65 168 | 232.15 170 | 114.16 176 | 183.40 186 | 141.78 186 | 655.87 190 | 24.69 170 | 372.56 185 | 109.76 184 | 356.89 182 | 47.15 184 | 139.51 184 | 284.15 184 | 54.86 180 | 61.20 181 |
|
| GDP-MVS | | | 219.79 170 | 249.11 172 | 131.85 178 | 187.15 187 | 155.97 188 | 667.31 191 | 30.57 185 | 398.95 187 | 131.26 186 | 387.86 184 | 58.83 187 | 164.55 186 | 315.00 185 | 65.03 182 | 75.04 183 |
|
| DP-MVS | | | 264.78 172 | 296.02 174 | 171.04 181 | 191.70 188 | 183.96 190 | 827.10 198 | 78.36 202 | 438.24 188 | 176.64 189 | 435.12 185 | 65.04 189 | 230.52 191 | 334.02 187 | 117.96 197 | 98.64 186 |
|
| tmp_tt | | | 371.08 181 | 412.78 182 | 246.00 192 | 231.00 189 | 197.00 192 | 1293.00 225 | 376.00 266 | 756.00 211 | 609.00 244 | 71.00 160 | 106.00 203 | 195.00 187 | 102.00 166 | 171.00 214 | 346.00 240 |
|
| FA-MVS(test-final) | | | 261.15 171 | 293.29 173 | 164.72 179 | 236.23 190 | 199.99 193 | 800.05 197 | 42.35 190 | 475.87 189 | 155.47 187 | 470.67 186 | 58.49 186 | 205.24 188 | 319.44 186 | 81.03 186 | 88.93 184 |
|
| kuosan | | | 267.89 173 | 301.05 175 | 168.41 180 | 244.05 191 | 177.28 189 | 667.98 192 | 65.76 193 | 533.41 191 | 157.79 188 | 492.01 187 | 104.69 202 | 226.72 189 | 364.47 189 | 79.31 185 | 101.21 187 |
|
| WB-MVS | | | 316.44 174 | 357.41 176 | 193.51 183 | 257.06 192 | 213.32 196 | 914.45 200 | 49.03 192 | 600.77 197 | 186.42 191 | 634.00 199 | 75.03 192 | 251.35 193 | 411.39 190 | 88.55 187 | 115.87 189 |
|
| SSC-MVS | | | 320.23 175 | 364.09 177 | 188.66 182 | 260.78 193 | 193.84 191 | 975.93 206 | 73.11 198 | 596.72 196 | 185.29 190 | 589.02 193 | 74.47 191 | 246.01 192 | 427.42 193 | 94.06 188 | 126.12 190 |
|
| myMVS_eth3d28 | | | 418.40 188 | 473.07 190 | 254.39 195 | 261.18 194 | 313.04 208 | 1172.79 220 | 74.16 200 | 929.18 220 | 264.68 202 | 745.72 205 | 139.03 215 | 318.91 200 | 549.18 209 | 121.71 198 | 131.21 191 |
|
| EG-PatchMatch MVS | | | 437.03 190 | 493.12 194 | 268.77 198 | 264.80 195 | 260.20 203 | 1491.80 229 | 98.00 216 | 723.20 208 | 238.80 198 | 722.40 203 | 63.10 188 | 382.00 211 | 629.00 216 | 207.00 223 | 164.10 206 |
|
| testing11 | | | 348.86 178 | 393.09 180 | 216.15 185 | 275.24 196 | 239.53 197 | 915.55 201 | 72.35 195 | 679.89 203 | 215.75 195 | 633.79 198 | 118.08 207 | 276.62 195 | 509.56 204 | 117.61 196 | 132.30 192 |
|
| testing91 | | | 347.05 177 | 389.92 179 | 218.43 186 | 275.92 197 | 241.43 198 | 923.71 202 | 71.70 194 | 667.65 202 | 217.04 196 | 629.00 197 | 113.33 206 | 281.39 196 | 495.50 196 | 115.45 193 | 132.47 193 |
|
| RPSCF | | | 394.81 184 | 445.63 186 | 242.35 190 | 276.55 198 | 253.63 200 | 1207.27 222 | 90.69 211 | 715.56 205 | 241.57 199 | 684.87 200 | 111.96 204 | 320.02 201 | 548.38 208 | 133.81 199 | 153.39 202 |
|
| UWE-MVS-28 | | | 327.73 176 | 369.67 178 | 201.90 184 | 281.09 199 | 210.75 194 | 832.98 199 | 74.67 201 | 680.98 204 | 198.23 192 | 613.42 196 | 112.56 205 | 259.80 194 | 418.76 191 | 114.35 191 | 135.15 196 |
|
| dongtai | | | 360.45 179 | 401.64 181 | 236.89 189 | 303.10 200 | 262.16 204 | 963.12 203 | 72.78 196 | 622.82 200 | 199.37 193 | 708.06 202 | 130.96 210 | 310.90 199 | 506.46 203 | 108.11 190 | 137.60 197 |
|
| Syy-MVS | | | 370.76 180 | 415.60 183 | 236.25 188 | 310.54 201 | 210.76 195 | 965.13 204 | 98.58 217 | 746.06 209 | 266.26 203 | 788.85 209 | 91.37 196 | 364.76 207 | 357.17 188 | 116.42 194 | 133.22 194 |
|
| myMVS_eth3d | | | 390.90 183 | 437.44 184 | 251.28 194 | 310.54 201 | 255.86 201 | 965.13 204 | 98.58 217 | 746.06 209 | 266.26 203 | 788.85 209 | 154.95 218 | 364.76 207 | 490.19 195 | 116.42 194 | 133.22 194 |
|
| testing99 | | | 408.82 186 | 462.15 188 | 248.86 193 | 322.45 203 | 269.42 205 | 1118.93 217 | 73.26 199 | 719.36 207 | 262.28 201 | 772.10 206 | 150.98 217 | 327.08 202 | 601.98 212 | 137.99 201 | 150.07 200 |
|
| testing3 | | | 418.10 187 | 469.06 189 | 265.23 197 | 335.69 204 | 290.63 207 | 1240.88 223 | 93.72 212 | 717.99 206 | 215.31 194 | 811.97 215 | 232.41 249 | 358.74 205 | 458.67 194 | 114.88 192 | 146.32 199 |
|
| DELS-MVS | | | 514.57 199 | 587.73 202 | 295.12 203 | 343.03 205 | 328.09 216 | 1540.48 231 | 116.22 225 | 988.59 222 | 325.44 217 | 906.22 220 | 119.86 209 | 365.72 209 | 788.60 228 | 161.09 211 | 191.55 214 |
| 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 |
| UWE-MVS | | | 387.98 182 | 438.66 185 | 235.93 187 | 349.32 206 | 257.61 202 | 1081.50 214 | 82.45 206 | 637.74 201 | 257.12 200 | 738.54 204 | 134.25 211 | 308.00 197 | 531.93 206 | 135.11 200 | 142.17 198 |
|
| DP-MVS Recon | | | 516.25 200 | 581.17 201 | 321.48 209 | 361.02 207 | 429.00 225 | 1995.36 237 | 78.48 203 | 796.20 213 | 283.32 209 | 796.02 211 | 96.78 197 | 382.98 212 | 636.72 218 | 186.66 220 | 152.46 201 |
|
| testing3-2 | | | 489.51 196 | 555.88 199 | 290.42 200 | 362.21 208 | 319.27 211 | 1424.84 226 | 88.81 210 | 964.80 221 | 309.62 213 | 879.13 219 | 174.38 225 | 363.98 206 | 643.82 220 | 155.29 204 | 188.01 211 |
|
| ACMH+ | | 729.97 2 | 661.38 207 | 754.00 209 | 383.51 213 | 368.96 209 | 376.38 220 | 2483.74 251 | 82.42 205 | 1089.25 231 | 333.39 218 | 1219.68 236 | 66.53 190 | 573.60 236 | 957.86 234 | 184.14 219 | 200.56 217 |
|
| WB-MVSnew | | | 404.84 185 | 458.00 187 | 245.36 191 | 374.70 210 | 320.27 212 | 1193.74 221 | 72.90 197 | 773.77 212 | 238.30 197 | 688.22 201 | 90.05 195 | 308.59 198 | 532.76 207 | 157.54 208 | 107.21 188 |
|
| MVP-Stereo | | | 473.58 194 | 533.67 196 | 293.33 201 | 376.00 211 | 318.00 209 | 1461.00 227 | 96.00 213 | 835.00 214 | 290.00 210 | 804.00 212 | 97.00 198 | 383.00 213 | 688.00 224 | 156.00 205 | 179.00 208 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 194 | 533.67 196 | 293.33 201 | 376.00 211 | 318.00 209 | 1461.00 227 | 96.00 213 | 835.00 214 | 290.00 210 | 804.00 212 | 97.00 198 | 383.00 213 | 688.00 224 | 156.00 205 | 179.00 208 |
|
| ETVMVS | | | 443.50 193 | 498.07 195 | 279.78 199 | 378.05 213 | 321.57 213 | 1163.68 219 | 87.12 207 | 897.50 219 | 269.81 205 | 822.83 216 | 141.20 216 | 334.53 204 | 568.21 211 | 154.21 203 | 183.26 210 |
|
| testing222 | | | 430.52 189 | 487.50 193 | 259.56 196 | 379.87 214 | 282.69 206 | 1138.34 218 | 81.30 204 | 880.86 216 | 281.58 206 | 834.27 217 | 135.83 213 | 333.22 203 | 514.90 205 | 140.56 202 | 162.76 203 |
|
| SSC-MVS3.2 | | | 667.82 208 | 787.71 212 | 308.16 205 | 385.94 215 | 327.65 214 | 1718.51 232 | 117.00 226 | 1942.46 258 | 317.12 215 | 1488.73 249 | 183.89 226 | 404.82 217 | 763.70 226 | 172.02 215 | 192.01 215 |
|
| UBG | | | 667.82 208 | 787.71 212 | 308.16 205 | 385.94 215 | 327.65 214 | 1718.51 232 | 117.00 226 | 1942.46 258 | 317.12 215 | 1488.73 249 | 183.89 226 | 404.82 217 | 763.70 226 | 172.02 215 | 192.01 215 |
|
| WBMVS | | | 655.88 206 | 770.84 211 | 310.98 207 | 391.79 217 | 353.00 217 | 2280.68 239 | 99.17 220 | 1776.79 253 | 301.20 212 | 1123.23 235 | 187.34 235 | 390.28 215 | 620.39 215 | 156.98 207 | 189.66 213 |
|
| tpmvs | | | 501.65 198 | 567.42 200 | 304.33 204 | 395.39 218 | 356.32 218 | 1512.04 230 | 216.53 253 | 994.15 223 | 350.16 219 | 804.16 214 | 119.38 208 | 380.98 210 | 555.14 210 | 159.87 210 | 175.69 207 |
|
| PatchmatchNet |  | | 492.52 197 | 551.22 198 | 316.40 208 | 400.20 219 | 357.90 219 | 1277.10 224 | 115.80 224 | 1034.60 230 | 315.90 214 | 874.00 218 | 155.10 219 | 402.20 216 | 629.50 217 | 158.80 209 | 189.10 212 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| PMVS | | 863.65 3 | 957.08 228 | 1054.11 237 | 666.00 242 | 401.00 220 | 495.00 228 | 3790.00 259 | 279.00 255 | 1607.00 251 | 521.00 236 | 1745.00 254 | 90.00 193 | 1105.00 265 | 639.00 219 | 415.00 250 | 398.00 247 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| CSCG | | | 826.03 223 | 963.29 228 | 414.24 215 | 421.52 221 | 426.11 224 | 2230.35 238 | 179.52 249 | 1827.44 254 | 733.43 255 | 933.12 222 | 281.25 251 | 545.23 227 | 1800.35 263 | 262.64 237 | 271.38 228 |
|
| IB-MVS | | 872.44 4 | 616.41 205 | 700.96 208 | 362.78 212 | 426.10 222 | 409.25 223 | 1822.69 234 | 124.42 236 | 1186.23 233 | 366.85 221 | 1079.42 232 | 190.60 237 | 451.78 221 | 930.72 233 | 181.59 218 | 227.30 219 |
| 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 |
| ADS-MVSNet2 | | | 443.33 191 | 482.84 191 | 324.79 210 | 434.94 223 | 387.73 221 | 1110.57 215 | 87.69 208 | 887.02 217 | 282.92 207 | 779.29 207 | 98.57 200 | 422.76 219 | 502.40 197 | 162.19 212 | 163.87 204 |
|
| ADS-MVSNet | | | 443.33 191 | 482.84 191 | 324.79 210 | 434.94 223 | 387.73 221 | 1110.57 215 | 87.69 208 | 887.02 217 | 282.92 207 | 779.29 207 | 98.57 200 | 422.76 219 | 502.40 197 | 162.19 212 | 163.87 204 |
|
| ACMH | | 993.80 5 | 967.92 229 | 1106.11 239 | 553.33 230 | 494.00 225 | 534.00 230 | 3581.00 257 | 136.00 238 | 1585.00 250 | 478.00 233 | 1871.00 256 | 90.00 193 | 839.00 248 | 1460.00 257 | 260.00 236 | 287.00 231 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| IterMVS | | | 615.05 204 | 691.66 207 | 385.23 214 | 516.40 226 | 454.80 226 | 1863.80 235 | 102.10 221 | 1142.20 232 | 364.10 220 | 1093.20 234 | 135.00 212 | 480.40 222 | 826.90 229 | 181.20 217 | 220.50 218 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| ACMM | | 1311.08 8 | 1165.06 241 | 1332.72 244 | 662.07 241 | 584.90 227 | 715.99 253 | 4373.59 264 | 153.99 246 | 1880.27 256 | 709.02 252 | 2316.97 260 | 188.63 236 | 939.89 253 | 1484.30 258 | 302.78 244 | 330.34 237 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| new-patchmatchnet | | | 766.12 212 | 859.03 217 | 487.38 227 | 595.68 228 | 536.14 231 | 2346.27 241 | 142.51 241 | 1488.08 240 | 422.43 222 | 1361.32 240 | 163.65 222 | 628.60 241 | 1003.74 243 | 207.61 224 | 297.41 233 |
|
| ACMP | | 1246.57 7 | 1086.24 237 | 1235.17 241 | 639.45 237 | 596.53 229 | 639.91 248 | 3904.24 260 | 152.04 244 | 1851.54 255 | 566.58 242 | 1997.95 258 | 138.50 214 | 938.30 252 | 1605.46 259 | 303.70 245 | 340.14 238 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| SixPastTwentyTwo | | | 773.62 213 | 869.37 219 | 486.35 226 | 603.45 230 | 547.15 240 | 2532.14 252 | 106.92 223 | 1434.95 239 | 428.08 223 | 1360.56 239 | 165.15 223 | 628.96 242 | 984.09 235 | 209.01 225 | 282.94 230 |
|
| IterMVS-LS | | | 758.94 211 | 856.56 216 | 466.10 224 | 606.60 231 | 546.80 239 | 2309.90 240 | 122.20 235 | 1402.80 238 | 463.50 225 | 1348.20 238 | 192.60 238 | 574.60 237 | 1028.60 244 | 234.60 235 | 276.90 229 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| MG-MVS | | | 1256.50 243 | 1432.00 246 | 730.00 246 | 610.00 232 | 760.00 255 | 4720.00 265 | 169.00 247 | 1920.00 257 | 723.00 254 | 2510.00 266 | 201.00 241 | 1050.00 263 | 1645.00 261 | 390.00 249 | 380.00 244 |
|
| RE-MVS-def | | | | 610.10 204 | | 610.10 233 | 610.10 246 | 610.10 187 | 610.10 298 | 610.10 198 | 610.10 245 | 610.10 194 | 610.10 281 | | 610.10 213 | 610.10 254 | 610.10 252 |
|
| SR-MVS | | | 610.10 202 | 610.10 204 | 610.10 236 | 610.10 233 | 610.10 246 | 610.10 187 | 610.10 298 | 610.10 198 | 610.10 245 | 610.10 194 | 610.10 281 | 610.10 239 | 610.10 213 | 610.10 254 | 610.10 252 |
|
| GG-mvs-BLEND | | | | | 596.01 234 | 611.29 235 | 600.33 243 | 790.30 194 | 513.12 289 | | 552.71 238 | 567.40 188 | 662.54 293 | 531.67 223 | 503.93 199 | 779.80 271 | 656.02 255 |
|
| gm-plane-assit | | | | | | 611.29 235 | 600.33 243 | | | 579.21 192 | | 567.40 188 | | 531.67 223 | 503.93 199 | | |
|
| CR-MVSNet | | | 612.36 203 | 617.81 206 | 596.01 234 | 611.29 235 | 600.33 243 | 790.30 194 | 513.12 289 | 579.21 192 | 552.71 238 | 567.40 188 | 662.54 293 | 531.67 223 | 503.93 199 | 779.80 271 | 656.02 255 |
|
| Gipuma | | | 689.75 210 | 767.00 210 | 458.00 223 | 613.00 238 | 549.00 241 | 1943.00 236 | 187.00 250 | 1230.00 234 | 518.00 235 | 1092.00 233 | 203.00 243 | 564.00 228 | 892.00 232 | 225.00 233 | 261.00 227 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| gg-mvs-nofinetune | | | 594.69 201 | 605.37 203 | 562.67 231 | 617.29 239 | 500.33 229 | 772.30 193 | 413.12 274 | 579.21 192 | 552.71 238 | 567.40 188 | 662.54 293 | 531.67 223 | 503.93 199 | 779.80 271 | 656.02 255 |
|
| mvs_anonymous | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
|
| casdiffmvs | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
| 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 | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
| 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 | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
|
| baseline1 | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
|
| casdiffmvs_mvg | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
| 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 | | | 774.90 214 | 882.28 220 | 452.77 216 | 636.50 240 | 537.20 232 | 2348.80 242 | 120.30 228 | 1504.30 241 | 474.40 226 | 1371.10 241 | 186.90 228 | 564.70 229 | 1078.90 246 | 219.30 226 | 256.40 220 |
|
| PVSNet | | 1207.94 6 | 829.56 224 | 937.18 227 | 506.69 228 | 645.55 247 | 585.72 242 | 2477.98 250 | 130.52 237 | 1578.29 249 | 509.50 234 | 1460.01 248 | 194.90 239 | 637.19 243 | 1170.78 254 | 267.07 239 | 297.17 232 |
|
| FPMVS | | | 1407.00 246 | 1495.59 248 | 1141.23 259 | 648.01 248 | 893.85 262 | 4124.00 261 | 503.81 288 | 3219.04 269 | 742.72 256 | 2498.84 265 | 157.98 220 | 1727.83 272 | 832.93 230 | 732.98 270 | 802.00 264 |
|
| lessismore_v0 | | | | | 569.20 232 | 667.25 249 | 644.68 249 | | 96.45 215 | | 428.86 224 | 1514.17 251 | 204.21 244 | 756.58 245 | 1061.60 245 | 197.79 222 | 306.34 234 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 230 | 1066.82 238 | 673.70 243 | 706.94 250 | 695.69 251 | 2669.02 255 | 153.52 245 | 2108.17 261 | 605.54 243 | 1679.14 253 | 213.26 247 | 886.75 251 | 1236.76 256 | 229.01 234 | 438.67 248 |
|
| MSLP-MVS++ | | | 1242.93 242 | 1411.08 245 | 738.48 247 | 712.71 251 | 712.68 252 | 4168.17 262 | 136.50 239 | 2276.40 263 | 613.28 247 | 2368.60 263 | 161.61 221 | 1130.38 266 | 1964.54 266 | 297.88 242 | 372.39 243 |
|
| MVSTER | | | 890.06 227 | 1005.91 236 | 542.52 229 | 736.13 252 | 653.90 250 | 2616.56 254 | 145.22 243 | 1692.10 252 | 555.69 241 | 1554.72 252 | 266.25 250 | 660.02 244 | 1219.66 255 | 266.84 238 | 313.64 236 |
|
| MVS_111021_LR | | | 1136.45 240 | 1298.72 243 | 649.64 238 | 756.17 253 | 726.26 254 | 3785.94 258 | 138.15 240 | 2190.64 262 | 629.63 248 | 2064.39 259 | 165.45 224 | 874.83 250 | 1678.43 262 | 279.70 240 | 347.82 241 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 247 | 1886.82 251 | 481.89 225 | 847.73 254 | 830.16 259 | 7943.84 284 | 189.23 251 | 2398.83 264 | 691.73 251 | 2341.13 261 | 209.16 245 | 230.25 190 | 1999.25 267 | 360.46 247 | 385.25 245 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| JIA-IIPM | | | 804.30 222 | 835.64 215 | 710.26 245 | 885.90 255 | 895.90 263 | 455.98 185 | 668.73 303 | 1297.17 235 | 1002.26 267 | 1001.67 230 | 655.98 291 | 756.98 246 | 667.90 221 | 885.21 283 | 477.90 249 |
|
| RPMNet | | | 787.26 221 | 829.13 214 | 661.63 240 | 885.90 255 | 895.90 263 | 455.98 185 | 610.10 298 | 1297.17 235 | 1002.26 267 | 1001.67 230 | 655.98 291 | 611.10 240 | 667.90 221 | 885.21 283 | 477.90 249 |
|
| ACMMPR | | | 1296.60 244 | 1480.82 247 | 743.96 248 | 899.25 257 | 763.47 256 | 4305.47 263 | 143.90 242 | 2530.94 266 | 683.99 249 | 2346.34 262 | 201.65 242 | 1098.25 264 | 1920.59 265 | 295.21 241 | 370.16 242 |
|
| test_0402 | | | 1110.00 239 | 1260.00 242 | 660.00 239 | 900.00 258 | 780.00 257 | 3300.00 256 | 210.00 252 | 2040.00 260 | 690.00 250 | 1950.00 257 | 300.00 254 | 810.00 247 | 1620.00 260 | 330.00 246 | 390.00 246 |
|
| TSAR-MVS + GP. | | | 1386.84 245 | 1622.84 249 | 678.81 244 | 952.13 259 | 840.17 260 | 5358.21 268 | 170.75 248 | 2650.47 267 | 713.54 253 | 2394.28 264 | 209.42 246 | 855.56 249 | 1854.36 264 | 302.42 243 | 340.71 239 |
|
| ambc | | | | | 999.00 251 | 999.00 260 | 999.00 265 | 999.00 207 | 999.00 314 | | 999.00 260 | 999.00 223 | 999.00 306 | 999.00 256 | 999.00 236 | 999.00 290 | 999.00 287 |
|
| OurMVSNet-221017-0 | | | 999.00 231 | 999.00 230 | 999.00 251 | 999.00 260 | 999.00 265 | 999.00 207 | 999.00 314 | 999.00 224 | 999.00 260 | 999.00 223 | 999.00 306 | 999.00 256 | 999.00 236 | 999.00 290 | 999.00 287 |
|
| EPMVS | | | 999.00 231 | 999.00 230 | 999.00 251 | 999.00 260 | 999.00 265 | 999.00 207 | 999.00 314 | 999.00 224 | 999.00 260 | 999.00 223 | 999.00 306 | 999.00 256 | 999.00 236 | 999.00 290 | 999.00 287 |
|
| uanet_test | | | 1000.00 233 | 1000.00 232 | 1000.00 254 | 1000.00 263 | 1000.00 268 | 1000.00 210 | 1000.00 317 | 1000.00 226 | 1000.00 263 | 1000.00 226 | 1000.00 309 | 1000.00 259 | 1000.00 239 | 1000.00 293 | 1000.00 290 |
|
| sosnet | | | 1000.00 233 | 1000.00 232 | 1000.00 254 | 1000.00 263 | 1000.00 268 | 1000.00 210 | 1000.00 317 | 1000.00 226 | 1000.00 263 | 1000.00 226 | 1000.00 309 | 1000.00 259 | 1000.00 239 | 1000.00 293 | 1000.00 290 |
|
| USDC | | | 1000.00 233 | 1000.00 232 | 1000.00 254 | 1000.00 263 | 1000.00 268 | 1000.00 210 | 1000.00 317 | 1000.00 226 | 1000.00 263 | 1000.00 226 | 1000.00 309 | 1000.00 259 | 1000.00 239 | 1000.00 293 | 1000.00 290 |
|
| TinyColmap | | | 1000.00 233 | 1000.00 232 | 1000.00 254 | 1000.00 263 | 1000.00 268 | 1000.00 210 | 1000.00 317 | 1000.00 226 | 1000.00 263 | 1000.00 226 | 1000.00 309 | 1000.00 259 | 1000.00 239 | 1000.00 293 | 1000.00 290 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 248 | 1869.33 250 | 1025.33 258 | 1030.00 267 | 1023.00 272 | 5311.00 267 | 359.00 264 | 3044.00 268 | 937.00 259 | 2892.00 267 | 332.00 258 | 1440.00 269 | 2312.00 269 | 607.00 253 | 613.00 254 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| F-COLMAP | | | 1878.17 249 | 2113.11 252 | 1173.33 262 | 1231.00 268 | 1174.00 273 | 6297.00 270 | 392.00 269 | 3356.00 271 | 1087.00 269 | 3082.00 268 | 361.00 262 | 1670.00 271 | 2523.00 271 | 689.00 260 | 676.00 259 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 250 | 2224.88 254 | 1163.39 261 | 1253.91 269 | 1434.22 276 | 7065.71 274 | 272.76 254 | 2472.29 265 | 1647.54 299 | 3538.72 271 | 200.37 240 | 1496.48 270 | 2575.17 272 | 997.45 289 | 559.48 251 |
|
| Patchmtry | | | 1090.75 238 | 1198.88 240 | 766.38 249 | 1290.90 270 | 485.90 227 | 2423.98 249 | 1267.30 321 | 1297.17 235 | 923.90 257 | 923.40 221 | 1215.54 314 | 990.23 254 | 667.90 221 | 779.80 271 | 823.02 269 |
|
| PatchT | | | 856.34 225 | 860.99 218 | 842.38 250 | 1290.90 270 | 880.90 261 | 790.30 194 | 1267.30 321 | 579.21 192 | 923.90 257 | 567.40 188 | 662.54 293 | 990.23 254 | 887.56 231 | 779.80 271 | 656.02 255 |
|
| K. test v3 | | | 877.74 226 | 980.16 229 | 570.46 233 | 1316.85 272 | 813.15 258 | 2565.52 253 | 103.78 222 | 1509.49 248 | 548.33 237 | 1258.90 237 | 219.93 248 | 587.82 238 | 1102.37 253 | 196.30 221 | 310.42 235 |
|
| PLC | | 2858.82 16 | 2192.92 253 | 2474.00 256 | 1349.67 264 | 1407.00 273 | 1356.00 275 | 7164.00 275 | 475.00 281 | 3970.00 275 | 1237.00 276 | 3765.00 274 | 451.00 269 | 1891.00 277 | 3006.00 275 | 791.00 276 | 802.00 264 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| CMPMVS |  | 2623.62 15 | 1983.08 251 | 2156.14 253 | 1463.89 272 | 1414.80 274 | 1517.00 278 | 5239.20 266 | 867.40 308 | 3310.30 270 | 1128.70 271 | 3489.90 270 | 366.75 263 | 2030.20 283 | 2427.60 270 | 1160.60 302 | 844.46 272 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| ZD-MVS | | | | | | 1584.00 275 | 1821.00 298 | | 378.00 267 | 3721.00 273 | 1231.00 274 | 1833.00 255 | 321.00 257 | 1224.00 267 | 2103.00 268 | 692.00 264 | |
|
| Vis-MVSNet | | | 2877.42 266 | 3170.00 269 | 1999.67 287 | 1673.00 276 | 2042.00 304 | 8593.00 288 | 474.00 280 | 6452.00 300 | 1268.00 277 | 5125.00 288 | 339.00 259 | 3004.00 301 | 4222.00 291 | 384.00 248 | 953.00 283 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| PCF-MVS | | 4335.85 20 | 2272.23 255 | 2597.03 258 | 1297.84 263 | 1701.20 277 | 1332.37 274 | 8105.11 285 | 451.45 277 | 4031.84 276 | 1099.10 270 | 3966.50 275 | 467.45 270 | 1734.05 273 | 2701.68 274 | 848.94 280 | 827.11 270 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| test_0728_SECOND | | | | | 1451.45 269 | 1725.60 278 | 1598.35 282 | 9203.30 291 | 315.86 258 | | | | | 2023.43 280 | 3973.88 285 | 620.04 256 | 732.56 261 |
|
| test0726 | | | | | | 1725.60 278 | 1598.35 282 | 9203.30 291 | 315.86 258 | 5016.02 287 | 1363.85 279 | 4894.28 285 | 387.23 264 | | | | |
|
| SD-MVS | | | 2654.53 262 | 3055.56 267 | 1451.45 269 | 1725.60 278 | 1598.35 282 | 9203.30 291 | 315.86 258 | 5016.02 287 | 1363.85 279 | 4894.28 285 | 387.23 264 | 2023.43 280 | 3973.88 285 | 620.04 256 | 732.56 261 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| 3Dnovator | | 2482.06 14 | 2531.17 259 | 2839.56 262 | 1606.00 273 | 1732.00 281 | 1557.00 280 | 8375.00 287 | 483.00 282 | 4370.00 281 | 1371.00 282 | 4200.00 276 | 350.00 260 | 2207.00 284 | 3877.00 284 | 798.00 277 | 1054.00 294 |
|
| LF4IMVS | | | 2699.50 264 | 3049.67 266 | 1649.00 275 | 1755.00 282 | 1689.00 289 | 8330.00 286 | 464.00 279 | 4997.00 286 | 1528.00 285 | 4763.00 284 | 568.00 279 | 2296.00 286 | 4215.00 290 | 827.00 279 | 962.00 284 |
|
| DPM-MVS | | | 3268.00 270 | 3762.89 273 | 1783.33 280 | 1756.00 283 | 1806.00 296 | 12319.00 307 | 307.00 256 | 6319.00 298 | 1557.00 290 | 5763.00 291 | 302.00 255 | 2609.00 293 | 5061.00 296 | 482.00 251 | 935.00 281 |
|
| OPM-MVS | | | 3268.00 270 | 3762.89 273 | 1783.33 280 | 1756.00 283 | 1806.00 296 | 12319.00 307 | 307.00 256 | 6319.00 298 | 1557.00 290 | 5763.00 291 | 302.00 255 | 2609.00 293 | 5061.00 296 | 482.00 251 | 935.00 281 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| OpenMVS | | 2352.88 13 | 2263.08 254 | 2530.89 257 | 1459.67 271 | 1767.00 285 | 1591.00 281 | 7932.00 283 | 399.00 270 | 3643.00 272 | 1176.00 272 | 3569.00 272 | 297.00 253 | 1927.00 279 | 3302.00 277 | 693.00 265 | 861.00 273 |
|
| tpmrst | | | 2557.50 260 | 2847.12 263 | 1688.66 276 | 1784.08 286 | 1778.25 295 | 7445.50 281 | 342.14 261 | 4471.54 282 | 1534.55 286 | 4382.10 280 | 530.10 276 | 2361.21 287 | 4142.81 288 | 991.22 288 | 926.51 279 |
|
| AdaColmap | | | 2570.77 261 | 2948.61 264 | 1437.24 268 | 1873.64 287 | 1526.60 279 | 7819.77 282 | 373.97 265 | 4970.45 285 | 1479.29 284 | 4648.46 282 | 525.80 275 | 1904.97 278 | 4150.42 289 | 695.69 266 | 880.14 277 |
|
| SteuartSystems-ACMMP | | | 2891.50 267 | 3284.78 270 | 1711.67 277 | 1954.00 288 | 1655.00 288 | 10117.00 304 | 445.00 276 | 5102.00 290 | 1375.00 283 | 5126.00 289 | 351.00 261 | 2638.00 297 | 4402.00 292 | 691.00 263 | 842.00 271 |
| Skip Steuart: Steuart Systems R&D Blog. |
| ITE_SJBPF | | | | | 2014.00 288 | 1998.00 289 | 1992.00 302 | | 701.00 304 | 5989.00 292 | 1812.00 303 | 3612.00 273 | 650.00 287 | 2852.00 300 | 4601.00 294 | 1195.00 303 | 1198.00 300 |
|
| tpm2 | | | 3617.85 274 | 4007.23 276 | 2449.73 294 | 2012.71 290 | 1698.05 290 | 7351.19 277 | 869.29 309 | 6132.06 293 | 1588.28 293 | 8007.42 309 | 1281.09 315 | 3888.11 313 | 7472.04 314 | 1351.00 304 | 1763.02 310 |
|
| tpm cat1 | | | 3617.85 274 | 4007.23 276 | 2449.73 294 | 2012.71 290 | 1698.05 290 | 7351.19 277 | 869.29 309 | 6132.06 293 | 1588.28 293 | 8007.42 309 | 1281.09 315 | 3888.11 313 | 7472.04 314 | 1351.00 304 | 1763.02 310 |
|
| CostFormer | | | 3617.85 274 | 4007.23 276 | 2449.73 294 | 2012.71 290 | 1698.05 290 | 7351.19 277 | 869.29 309 | 6132.06 293 | 1588.28 293 | 8007.42 309 | 1281.09 315 | 3888.11 313 | 7472.04 314 | 1351.00 304 | 1763.02 310 |
|
| tpm | | | 3617.85 274 | 4007.23 276 | 2449.73 294 | 2012.71 290 | 1698.05 290 | 7351.19 277 | 869.29 309 | 6132.06 293 | 1588.28 293 | 8007.42 309 | 1281.09 315 | 3888.11 313 | 7472.04 314 | 1351.00 304 | 1763.02 310 |
|
| CHOSEN 280x420 | | | 2340.81 256 | 2643.03 259 | 1434.14 265 | 2025.55 294 | 1629.36 285 | 6542.40 271 | 412.49 271 | 4219.70 278 | 1547.02 287 | 4328.52 277 | 650.74 288 | 1798.26 274 | 3333.17 278 | 727.72 267 | 874.79 274 |
|
| CHOSEN 1792x2688 | | | 2340.81 256 | 2643.03 259 | 1434.14 265 | 2025.55 294 | 1629.36 285 | 6542.40 271 | 412.49 271 | 4219.70 278 | 1547.02 287 | 4328.52 277 | 650.74 288 | 1798.26 274 | 3333.17 278 | 727.72 267 | 874.79 274 |
|
| HyFIR lowres test | | | 2340.81 256 | 2643.03 259 | 1434.14 265 | 2025.55 294 | 1629.36 285 | 6542.40 271 | 412.49 271 | 4219.70 278 | 1547.02 287 | 4328.52 277 | 650.74 288 | 1798.26 274 | 3333.17 278 | 727.72 267 | 874.79 274 |
|
| DVP-MVS++ | | | 3981.10 280 | 4731.32 285 | 1730.42 278 | 2191.51 297 | 1949.98 300 | 16473.90 316 | 355.33 262 | 7172.90 309 | 1622.98 297 | 7879.79 307 | 434.33 267 | 2428.11 289 | 5762.12 299 | 689.04 261 | 813.18 267 |
|
| DVP-MVS | | | 3981.10 280 | 4731.32 285 | 1730.42 278 | 2191.51 297 | 1949.98 300 | 16473.90 316 | 355.33 262 | 7172.90 309 | 1622.98 297 | 7879.79 307 | 434.33 267 | 2428.11 289 | 5762.12 299 | 689.04 261 | 813.18 267 |
| 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 |
| 3Dnovator+ | | 3414.41 17 | 3146.67 268 | 3537.00 271 | 1975.67 284 | 2310.00 299 | 2005.00 303 | 10100.00 303 | 626.00 301 | 5753.00 291 | 1803.00 302 | 5179.00 290 | 487.00 271 | 2622.00 295 | 4550.00 293 | 1025.00 297 | 1300.00 301 |
|
| TSAR-MVS + MP. | | | 3528.01 273 | 4065.89 280 | 1914.35 283 | 2349.10 300 | 2141.30 305 | 12362.70 309 | 417.60 275 | 6717.80 304 | 1759.40 301 | 6497.50 294 | 518.18 274 | 2629.38 296 | 5164.32 298 | 806.40 278 | 972.38 286 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| DeepPCF-MVS | | 3452.42 18 | 2670.71 263 | 3021.57 265 | 1618.12 274 | 2377.67 301 | 1751.39 294 | 8915.70 290 | 567.44 296 | 4569.74 283 | 1236.84 275 | 4615.63 281 | 513.23 273 | 2291.32 285 | 3515.48 281 | 882.39 282 | 811.66 266 |
|
| GST-MVS | | | 4000.00 282 | 4533.33 283 | 2400.00 293 | 2400.00 302 | 2400.00 308 | 7200.00 276 | 2400.00 325 | 7200.00 311 | 2400.00 313 | 7200.00 301 | 2400.00 319 | 2400.00 288 | 7200.00 312 | 2400.00 316 | 2400.00 315 |
|
| MVS_111021_HR | | | 3742.80 278 | 4330.34 281 | 1980.20 285 | 2484.31 303 | 2259.52 307 | 14973.80 314 | 515.90 295 | 6500.13 301 | 1949.21 304 | 6146.89 293 | 535.66 277 | 2593.66 292 | 4880.76 295 | 986.37 287 | 1087.43 295 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 269 | 3601.83 272 | 1814.72 282 | 2515.52 304 | 1941.53 299 | 10432.50 305 | 589.42 297 | 4789.45 284 | 1298.65 278 | 7677.31 306 | 578.35 280 | 2589.53 291 | 3611.78 283 | 923.52 285 | 913.10 278 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| TAPA-MVS | | 6309.84 21 | 3374.90 272 | 3806.99 275 | 2078.63 289 | 2535.47 305 | 2499.25 314 | 8816.16 289 | 456.05 278 | 6255.60 297 | 1664.52 300 | 6704.88 296 | 629.95 286 | 2768.38 298 | 6343.93 310 | 856.35 281 | 968.25 285 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| FOURS1 | | | | | | 2643.17 306 | 2465.14 309 | 13996.40 311 | 493.26 283 | 7619.38 312 | 2107.24 305 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 290 | 2643.17 306 | 2465.14 309 | | 493.26 283 | | | | | 3088.29 306 | 6075.14 306 | 1078.39 298 | 1159.26 296 |
|
| No_MVS | | | | | 2237.56 290 | 2643.17 306 | 2465.14 309 | | 493.26 283 | | | | | 3088.29 306 | 6075.14 306 | 1078.39 298 | 1159.26 296 |
|
| test_one_0601 | | | | | | 2643.17 306 | 2465.14 309 | | 493.26 283 | 7619.38 312 | 2107.24 305 | 7416.93 303 | 610.24 283 | | | | |
|
| SED-MVS | | | 4062.74 283 | 4671.13 284 | 2237.56 290 | 2643.17 306 | 2465.14 309 | 13996.40 311 | 493.26 283 | 7619.38 312 | 2107.24 305 | 7416.93 303 | 610.24 283 | 3088.29 306 | 6075.14 306 | 1078.39 298 | 1159.26 296 |
|
| IU-MVS | | | | | | 2725.60 311 | 2598.35 315 | | 515.86 291 | 7016.02 305 | 2363.85 309 | | | | 5973.88 302 | 1620.04 310 | 1732.56 306 |
|
| OPU-MVS | | | | | 2451.45 298 | 2725.60 311 | 2598.35 315 | 9203.30 291 | | | | 6894.28 297 | 887.23 301 | 3023.43 302 | 5973.88 302 | 1620.04 310 | 1732.56 306 |
|
| test_241102_ONE | | | | | | 2725.60 311 | 2598.35 315 | | 515.86 291 | 7016.02 305 | 2363.85 309 | 6894.28 297 | 887.23 301 | 3023.43 302 | | | |
|
| MSP-MVS | | | 4296.20 284 | 4911.12 288 | 2451.45 298 | 2725.60 311 | 2598.35 315 | 16203.30 315 | 515.86 291 | 7016.02 305 | 2363.85 309 | 6894.28 297 | 887.23 301 | 3023.43 302 | 5973.88 302 | 1620.04 310 | 1732.56 306 |
| 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-HIRNet | | | 2125.39 252 | 2452.68 255 | 1143.53 260 | 2938.33 315 | 1446.92 277 | 6083.19 269 | 391.74 268 | 3801.71 274 | 1202.10 273 | 3439.72 269 | 492.73 272 | 1304.35 268 | 3048.25 276 | 676.32 259 | 679.32 260 |
|
| EGC-MVSNET | | | 2819.75 265 | 3096.89 268 | 1988.33 286 | 3105.00 316 | 2241.00 306 | 9480.00 295 | 640.00 302 | 4209.00 277 | 1583.00 292 | 4740.00 283 | 547.00 278 | 2797.00 299 | 2644.00 273 | 924.00 286 | 927.00 280 |
|
| MAR-MVS | | | 3973.16 279 | 4387.92 282 | 2728.86 300 | 3345.27 317 | 3341.39 321 | 11403.90 306 | 798.76 306 | 6555.62 303 | 2569.29 314 | 6514.86 295 | 834.97 300 | 3237.43 310 | 5891.08 301 | 1577.54 309 | 1607.76 302 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| API-MVS | | | 4380.83 285 | 4906.56 287 | 2803.67 301 | 3844.00 318 | 3116.00 320 | 13454.00 310 | 901.00 313 | 6511.00 302 | 2794.00 315 | 7365.00 302 | 754.00 297 | 3634.00 311 | 6622.00 311 | 1914.00 315 | 1661.00 305 |
|
| CLD-MVS | | | 7338.25 287 | 8341.00 290 | 4330.00 303 | 4902.00 319 | 4991.00 322 | 23318.00 319 | 728.00 305 | 14437.00 326 | 4378.00 318 | 13379.00 321 | 824.00 299 | 5708.00 317 | 11429.00 327 | 1674.00 314 | 2291.00 314 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| OMC-MVS | | | 5022.26 286 | 5748.82 289 | 2842.58 302 | 4905.27 320 | 3101.27 319 | 14933.60 313 | 812.24 307 | 9278.40 316 | 2959.29 316 | 8800.17 313 | 1092.24 313 | 3806.30 312 | 7568.54 318 | 1389.60 308 | 1620.18 304 |
|
| LS3D | | | 7684.71 288 | 8776.23 291 | 4410.16 304 | 5298.55 321 | 5631.53 323 | 34329.90 321 | 1504.57 323 | 11554.00 325 | 3896.41 317 | 15111.00 322 | 812.19 298 | 5985.63 318 | 3516.20 282 | 2963.23 317 | 1613.31 303 |
|
| MVE | | 10021.00 22 | 10550.67 296 | 10002.44 299 | 12195.33 313 | 6242.00 322 | 8768.00 325 | 30896.00 320 | 4451.00 326 | 10331.00 324 | 6247.00 319 | 18296.00 323 | 283.00 252 | 21484.00 327 | 7364.00 313 | 5912.00 319 | 6334.00 317 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 297 | 11772.44 300 | 7637.33 305 | 9120.00 323 | 8206.00 324 | 22252.00 318 | 2010.00 324 | 24984.00 327 | 7458.00 320 | 22596.00 324 | 2940.00 320 | 10260.00 326 | 11100.00 326 | 3492.00 318 | 4446.00 316 |
|
| ZNCC-MVS | | | 9999.00 289 | 9999.00 292 | 9999.00 306 | 9999.00 324 | 9999.00 326 | 9999.00 296 | 9999.00 329 | 9999.00 317 | 9999.00 321 | 9999.00 314 | 9999.00 322 | 9999.00 319 | 9999.00 319 | 9999.00 320 | 9999.00 318 |
|
| patch_mono-2 | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| dcpmvs_2 | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| DCPMVS | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| UA-Net | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| uncertanet | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| uanet | | | 10000.00 290 | 10000.00 293 | 10000.00 307 | 10000.00 325 | 10000.00 327 | 10000.00 297 | 10000.00 330 | 10000.00 318 | 10000.00 322 | 10000.00 315 | 10000.00 323 | 10000.00 320 | 10000.00 320 | 10000.00 321 | 10000.00 319 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 298 | 22805.00 301 | 25097.33 314 | 15500.00 331 | 19201.00 333 | 42712.00 322 | 6055.00 327 | 38388.00 328 | 16926.00 328 | 38534.00 325 | 7071.00 321 | 35653.00 328 | 29475.00 328 | 10584.00 327 | 20438.00 326 |
| 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 | | | 32606.17 299 | 34443.44 302 | 27094.33 315 | 29249.00 332 | 25246.00 334 | 51144.00 323 | 6705.00 328 | 42886.00 329 | 22888.00 329 | 48534.00 326 | 13263.00 329 | 37507.00 329 | 79298.00 329 | 16024.00 328 | 18530.00 325 |
|
| 114514_t | | | 99999.00 300 | 99999.00 303 | 99999.00 316 | 99999.00 333 | 99999.00 335 | 99999.00 324 | 99999.00 336 | 99999.00 330 | 99999.00 330 | 99999.00 327 | 99999.00 330 | 99999.00 330 | 99999.00 330 | 99999.00 329 | 99999.00 327 |
|
| PHI-MVS | | | 99999.00 300 | 99999.00 303 | 99999.00 316 | 99999.00 333 | 99999.00 335 | 99999.00 324 | 99999.00 336 | 99999.00 330 | 99999.00 330 | 99999.00 327 | 99999.00 330 | 99999.00 330 | 99999.00 330 | 99999.00 329 | 99999.00 327 |
|
| XVG-OURS-SEG-HR | | | 999999.00 304 | 999999.00 305 | 999999.00 318 | 999999.00 335 | 999999.00 337 | 999999.00 326 | 999999.00 338 | 999999.00 332 | 999999.00 332 | 999999.00 329 | 999999.00 332 | 999999.00 332 | 999999.00 332 | 999999.00 331 | 999999.00 329 |
|
| XVG-OURS | | | 999999.00 304 | 999999.00 305 | 999999.00 318 | 999999.00 335 | 999999.00 337 | 999999.00 326 | 999999.00 338 | 999999.00 332 | 999999.00 332 | 999999.00 329 | 999999.00 332 | 999999.00 332 | 999999.00 332 | 999999.00 331 | 999999.00 329 |
|
| XVG-ACMP-BASELINE | | | 999999.00 304 | 999999.00 305 | 999999.00 318 | 999999.00 335 | 999999.00 337 | 999999.00 326 | 999999.00 338 | 999999.00 332 | 999999.00 332 | 999999.00 329 | 999999.00 332 | 999999.00 332 | 999999.00 332 | 999999.00 331 | 999999.00 329 |
|
| MVSMamba_PlusPlus | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| MGCFI-Net | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| sasdasda | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| dmvs_re | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| SDMVSNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| dmvs_testset | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| sd_testset | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| balanced_conf03 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| MonoMVSNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test2506 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test1111 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| ECVR-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test_blank | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| tt0805 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| eth-test | | | | | | 10000000.00 338 | | | | | | | | | | | |
|
| Anonymous20240521 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| cl22 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| miper_ehance_all_eth | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| miper_enhance_ethall | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| cl____ | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| DIV-MVS_self_test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| eth_miper_zixun_eth | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| UniMVSNet_ETH3D | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| miper_lstm_enhance | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| D2MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test_yl | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| thisisatest0530 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Anonymous20240529 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Anonymous202405211 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| DCV-MVSNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| tttt0517 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| our_test_3 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| thisisatest0515 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| ppachtmachnet_test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| SMA-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| 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 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 10000000.00 338 | 10000000.00 340 | | | | 10000000.00 335 | | | | | | |
|
| thres100view900 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| tfpnnormal | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| tfpn200view9 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| c3_l | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| IterMVS-SCA-FT | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pmmvs6 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pmmvs5 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Anonymous20231211 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pmmvs-eth3d | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Anonymous20231206 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| SCA | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Patchmatch-test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Patchmatch-RL test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| canonicalmvs | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| anonymousdsp | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| FIs | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| FC-MVSNet-test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| sosnet-low-res | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| AllTest | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| TestCases | | | | | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| RRT-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| mamv4 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| HPM-MVS++ | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| XVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pm-mvs1 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| X-MVStestdata | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| APDe-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pmmvs4 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test-LLR | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| TESTMET0.1,1 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test-mter | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| testgi | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test20.03 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| thres600view7 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| MP-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| thres400 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test123 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| thres200 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| test0.0.03 1 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| pmmvs3 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| EMVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| E-PMN | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PGM-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| MCST-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| MVS_Test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PMMVS2 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PM-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| HQP_MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| plane_prior7 | | | | | | 10000000.00 338 | 10000000.00 340 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 338 | 10000000.00 340 | | | | | | 10000000.00 335 | | | | |
|
| plane_prior1 | | | | | | 10000000.00 338 | | | | | | | | | | | |
|
| mPP-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| mvsmamba | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| HPM-MVS_fast | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| HPM-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| LGP-MVS_train | | | | | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| EPNet_dtu | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP-NCC | | | | | | 10000000.00 338 | | 10000000.00 329 | | 10000000.00 335 | 10000000.00 335 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 338 | | 10000000.00 329 | | 10000000.00 335 | 10000000.00 335 | | | | | | |
|
| CNVR-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| NCCC | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| CP-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| NP-MVS | | | | | | 10000000.00 338 | 10000000.00 340 | | | | | 10000000.00 332 | | | | | |
|
| CPTT-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| HQP-MVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| IS-MVSNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PAPM_NR | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PAPR | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PatchMatch-RL | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| TDRefinement | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| EPP-MVSNet | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PMMVS | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| PAPM | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| ACMMP | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
| 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 | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| wuyk23d | | | 10000000.00 307 | 10000000.00 310 | 10000000.00 321 | 10000000.00 338 | 10000000.00 340 | 10000000.00 329 | 10000000.00 341 | 10000000.00 335 | 10000000.00 335 | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| APD-MVS | | | 1000000000.00 416 | 1000000000.00 419 | 1000000000.00 432 | 1000000000.00 457 | 1000000000.00 457 | 1000000000.00 443 | 1000000000.00 457 | 1000000000.00 450 | 1000000000.00 451 | 1000000000.00 448 | 1000000000.00 453 | 1000000000.00 451 | 1000000000.00 450 | 1000000000.00 449 | 1000000000.00 447 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 199 | | | | | | | | 422.23 192 | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 312 | 2107.24 305 | 7416.93 303 | 610.24 283 | 3088.29 306 | 6075.14 306 | 1078.39 298 | 1159.26 296 |
|
| test_241102_TWO | | | | | | | | | 515.86 291 | 7016.02 305 | 2363.85 309 | 6894.28 297 | 887.23 301 | 3023.43 302 | 5973.88 302 | 1620.04 310 | 1732.56 306 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 287 | 1363.85 279 | 4894.28 285 | 387.23 264 | 2023.43 280 | 3973.88 285 | 620.04 256 | 732.56 261 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 332 |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 335 | | | | 10000000.00 332 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 335 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 341 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 329 | | | | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | 10000000.00 335 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 332 | 10000000.00 335 | 10000000.00 335 | | | |
|
| MTMP | | | | | | | | 10000000.00 329 | 10000000.00 341 | | | | | | | | |
|
| 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 | | | | | | | | | |
|
| 无先验 | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 341 | | | | | 10000000.00 335 | 10000000.00 335 | 10000000.00 334 | 10000000.00 332 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 332 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 340 | | | 10000000.00 335 | 10000000.00 335 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 329 | | 10000000.00 335 | | | | | | | |
|
| plane_prior | | | | | | | 1.00 86 | 2.00 124 | | 2.00 125 | | | | | | 2.00 123 | |
|
| n2 | | | | | | | | | 14.20 166 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 94 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 94 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 87 | | | | | | | | |
|
| door | | | | | | | | | 99.00 219 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 340 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 335 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 335 | | | 10000000.00 335 | | | 10000000.00 332 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 341 | | | | | | | 10000000.00 334 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 335 | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 146 | 9.99 144 | | 9.99 145 | 9.99 144 | | 9.99 146 | | 9.99 142 | | 9.99 145 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 334 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 334 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 305 | | | | |
|
