| fmvsm_s_conf0.5_n_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 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 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 |
|
| 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_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 新几何1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 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 45 | 0.30 46 | 0.30 50 | 0.30 57 | 0.30 57 | 0.30 57 | 0.30 58 | 0.30 57 | 0.30 56 | 0.30 54 | 0.30 56 | 0.30 57 | 0.30 55 | 0.30 55 | 0.30 55 |
|
| hse-mvs2 | | | 0.30 45 | 0.30 46 | 0.30 50 | 0.30 57 | 0.30 57 | 0.30 57 | 0.30 58 | 0.30 57 | 0.30 56 | 0.30 54 | 0.30 56 | 0.30 57 | 0.30 55 | 0.30 55 | 0.30 55 |
|
| CL-MVSNet_self_test | | | 0.30 45 | 0.30 46 | 0.30 50 | 0.30 57 | 0.30 57 | 0.30 57 | 0.30 58 | 0.30 57 | 0.30 56 | 0.30 54 | 0.30 56 | 0.30 57 | 0.30 55 | 0.30 55 | 0.30 55 |
|
| AUN-MVS | | | 0.30 45 | 0.30 46 | 0.30 50 | 0.30 57 | 0.30 57 | 0.30 57 | 0.30 58 | 0.30 57 | 0.30 56 | 0.30 54 | 0.30 56 | 0.30 57 | 0.30 55 | 0.30 55 | 0.30 55 |
|
| LCM-MVSNet | | | 0.37 49 | 0.36 50 | 0.37 54 | 0.37 61 | 0.37 61 | 0.37 61 | 0.32 62 | 0.37 61 | 0.37 60 | 0.37 58 | 0.37 60 | 0.37 61 | 0.37 59 | 0.37 59 | 0.37 59 |
|
| v144192 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v1921920 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v1192 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v1144 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v148 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v7n | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v1240 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v8 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v10 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| v2v482 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| V42 | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| GA-MVS | | | 0.40 50 | 0.40 51 | 0.40 55 | 0.40 62 | 0.40 62 | 0.40 62 | 0.40 64 | 0.40 62 | 0.40 61 | 0.40 59 | 0.40 61 | 0.40 62 | 0.40 60 | 0.40 60 | 0.40 60 |
|
| Fast-Effi-MVS+ | | | 0.41 62 | 0.40 51 | 0.41 67 | 0.41 74 | 0.41 74 | 0.41 74 | 0.35 63 | 0.41 74 | 0.41 73 | 0.41 71 | 0.41 73 | 0.41 74 | 0.41 72 | 0.41 72 | 0.41 72 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 63 | 0.44 64 | 0.44 68 | 0.44 75 | 0.44 75 | 0.44 75 | 0.44 76 | 0.44 75 | 0.44 74 | 0.44 72 | 0.44 74 | 0.44 75 | 0.44 73 | 0.44 73 | 0.44 73 |
|
| Effi-MVS+-dtu | | | 0.59 65 | 0.61 67 | 0.53 69 | 0.68 83 | 0.53 76 | 0.53 76 | 0.68 84 | 0.68 83 | 0.53 75 | 0.53 73 | 0.68 82 | 0.53 76 | 0.68 81 | 0.53 74 | 0.53 74 |
|
| KD-MVS_self_test | | | 0.60 66 | 0.60 66 | 0.60 70 | 0.60 77 | 0.60 77 | 0.60 78 | 0.60 78 | 0.60 77 | 0.60 76 | 0.60 74 | 0.60 76 | 0.60 77 | 0.60 74 | 0.60 76 | 0.60 75 |
|
| EIA-MVS | | | 0.62 67 | 0.62 68 | 0.62 71 | 0.62 78 | 0.62 78 | 0.62 79 | 0.62 79 | 0.62 78 | 0.62 77 | 0.62 75 | 0.62 77 | 0.62 78 | 0.62 75 | 0.62 77 | 0.62 76 |
|
| ETV-MVS | | | 0.62 67 | 0.62 68 | 0.62 71 | 0.62 78 | 0.62 78 | 0.62 79 | 0.62 79 | 0.62 78 | 0.62 77 | 0.62 75 | 0.62 77 | 0.62 78 | 0.62 75 | 0.62 77 | 0.62 76 |
|
| CS-MVS | | | 0.62 67 | 0.62 68 | 0.62 71 | 0.62 78 | 0.62 78 | 0.62 79 | 0.62 79 | 0.62 78 | 0.62 77 | 0.62 75 | 0.62 77 | 0.62 78 | 0.62 75 | 0.62 77 | 0.62 76 |
|
| SPE-MVS-test | | | 0.62 67 | 0.62 68 | 0.62 71 | 0.62 78 | 0.62 78 | 0.62 79 | 0.62 79 | 0.62 78 | 0.62 77 | 0.62 75 | 0.62 77 | 0.62 78 | 0.62 75 | 0.62 77 | 0.62 76 |
|
| Effi-MVS+ | | | 0.58 64 | 0.56 65 | 0.62 71 | 0.53 76 | 0.62 78 | 0.53 76 | 0.53 77 | 0.53 76 | 0.62 77 | 0.62 75 | 0.53 75 | 0.62 78 | 0.62 75 | 0.53 74 | 0.62 76 |
|
| EC-MVSNet | | | 0.62 67 | 0.62 68 | 0.62 71 | 0.62 78 | 0.62 78 | 0.62 79 | 0.62 79 | 0.62 78 | 0.62 77 | 0.62 75 | 0.62 77 | 0.62 78 | 0.62 75 | 0.62 77 | 0.62 76 |
|
| CDS-MVSNet | | | 0.88 72 | 0.88 73 | 0.88 77 | 0.88 84 | 0.88 84 | 0.88 84 | 0.88 85 | 0.88 84 | 0.88 83 | 0.88 81 | 0.88 83 | 0.88 84 | 0.88 82 | 0.88 82 | 0.88 82 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 72 | 0.88 73 | 0.88 77 | 0.88 84 | 0.88 84 | 0.88 84 | 0.88 85 | 0.88 84 | 0.88 83 | 0.88 81 | 0.88 83 | 0.88 84 | 0.88 82 | 0.88 82 | 0.88 82 |
|
| LCM-MVSNet-Re | | | 0.89 74 | 0.89 75 | 0.89 79 | 0.89 86 | 0.89 86 | 0.89 86 | 0.89 87 | 0.89 86 | 0.89 85 | 0.89 83 | 0.89 85 | 0.89 86 | 0.89 84 | 0.89 84 | 0.89 84 |
|
| plane_prior | | | | | | | 1.00 87 | 2.00 125 | | 2.00 126 | | | | | | 2.00 124 | |
|
| DeepMVS_CX |  | | | | 1.00 80 | 1.00 87 | 1.00 87 | | 1.00 88 | 1.00 87 | 1.00 86 | 1.00 84 | 1.00 86 | 1.00 87 | 1.00 85 | 1.00 85 | 1.00 85 |
|
| MDA-MVSNet-bldmvs | | | 1.20 75 | 1.20 76 | 1.20 81 | 1.20 88 | 1.20 89 | 1.20 87 | 1.20 90 | 1.20 88 | 1.20 87 | 1.20 85 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 86 | 1.20 86 |
|
| YYNet1 | | | 1.20 75 | 1.20 76 | 1.20 81 | 1.20 88 | 1.20 89 | 1.20 87 | 1.20 90 | 1.20 88 | 1.20 87 | 1.20 85 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 86 | 1.20 86 |
|
| MDA-MVSNet_test_wron | | | 1.20 75 | 1.20 76 | 1.20 81 | 1.20 88 | 1.20 89 | 1.20 87 | 1.20 90 | 1.20 88 | 1.20 87 | 1.20 85 | 1.20 87 | 1.20 88 | 1.20 86 | 1.20 86 | 1.20 86 |
|
| KD-MVS_2432*1600 | | | 1.30 78 | 1.30 79 | 1.30 84 | 1.30 91 | 1.30 92 | 1.30 90 | 1.30 93 | 1.30 91 | 1.30 90 | 1.30 88 | 1.30 90 | 1.30 91 | 1.30 89 | 1.30 89 | 1.30 89 |
|
| miper_refine_blended | | | 1.30 78 | 1.30 79 | 1.30 84 | 1.30 91 | 1.30 92 | 1.30 90 | 1.30 93 | 1.30 91 | 1.30 90 | 1.30 88 | 1.30 90 | 1.30 91 | 1.30 89 | 1.30 89 | 1.30 89 |
|
| EI-MVSNet-UG-set | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| EI-MVSNet-Vis-set | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| EI-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| Regformer | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| CVMVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| EU-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| PS-CasMVS | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| PEN-MVS | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| TransMVSNet (Re) | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| DTE-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| DU-MVS | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| UniMVSNet (Re) | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| CP-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| WR-MVS_H | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| WR-MVS | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| NR-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| Baseline_NR-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| MVSFormer | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| jason | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
| jason: jason. |
| lupinMVS | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| test_djsdf | | | 1.42 80 | 1.42 81 | 1.42 86 | 1.42 93 | 1.42 94 | 1.42 92 | 1.42 95 | 1.42 93 | 1.42 92 | 1.42 90 | 1.42 92 | 1.42 93 | 1.42 91 | 1.42 91 | 1.42 91 |
|
| reproduce_monomvs | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| mmtdpeth | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| reproduce_model | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| reproduce-ours | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| our_new_method | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| mmdepth | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| monomultidepth | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| mvs5depth | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| MVStest1 | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| ttmdpeth | | | 1.48 103 | 1.48 104 | 1.48 109 | 1.48 117 | 1.48 117 | 1.48 115 | 1.48 120 | 1.48 116 | 1.48 115 | 1.48 113 | 1.48 115 | 1.48 116 | 1.48 114 | 1.48 114 | 1.48 114 |
|
| alignmvs | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| nrg030 | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| LFMVS | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| VDD-MVS | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| VDDNet | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| VPNet | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| VNet | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| VPA-MVSNet | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| cascas | | | 2.00 113 | 2.00 114 | 2.00 119 | 2.00 127 | 2.00 127 | 2.00 125 | 2.00 130 | 2.00 126 | 2.00 125 | 2.00 123 | 2.00 125 | 2.00 126 | 2.00 124 | 2.00 124 | 2.00 124 |
|
| UnsupCasMVSNet_eth | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| UnsupCasMVSNet_bld | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| WTY-MVS | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| HY-MVS | | 5.90 1 | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| sss | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| Test_1112_low_res | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| 1112_ss | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| ab-mvs-re | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| ab-mvs | | | 5.90 122 | 5.90 123 | 5.90 128 | 5.90 136 | 5.90 136 | 5.90 135 | 5.90 142 | 5.90 136 | 5.90 134 | 5.90 132 | 5.90 136 | 5.90 135 | 5.90 133 | 5.90 136 | 5.90 136 |
|
| CDPH-MVS | | | 6.66 131 | 6.66 132 | 6.66 137 | 6.66 145 | 6.66 145 | 6.66 144 | 6.66 151 | 6.66 145 | 6.66 143 | 6.66 141 | 6.66 145 | 6.66 144 | 6.66 142 | 6.66 145 | 6.66 145 |
|
| dp | | | 87.20 151 | 113.80 155 | 7.42 138 | 10.50 157 | 8.88 146 | 298.82 172 | 2.70 139 | 510.35 191 | 7.79 144 | 172.93 165 | 3.37 134 | 9.16 145 | 14.00 156 | 3.71 134 | 4.23 134 |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 147 | 9.99 145 | | 9.99 146 | 9.99 145 | | 9.99 147 | | 9.99 143 | | 9.99 146 |
|
| MDTV_nov1_ep13 | | | | 9.99 133 | | 9.99 146 | 9.99 147 | 9.99 145 | 9.99 153 | 9.99 146 | 9.99 145 | 9.99 142 | 9.99 147 | 9.99 146 | 9.99 143 | 9.99 147 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| xiu_mvs_v2_base | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| xiu_mvs_v1_base | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| xiu_mvs_v1_base_debi | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| cdsmvs_eth3d_5k | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| pcd_1.5k_mvsjas | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| PS-MVSNAJss | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| PS-MVSNAJ | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| jajsoiax | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| mvs_tets | | | 10.28 132 | 10.28 134 | 10.28 139 | 10.28 147 | 10.28 149 | 10.28 147 | 10.28 154 | 10.28 148 | 10.28 147 | 10.28 143 | 10.28 149 | 10.28 147 | 10.28 145 | 10.28 148 | 10.28 147 |
|
| GeoE | | | 19.41 145 | 22.09 147 | 11.37 150 | 17.21 161 | 11.30 159 | 50.50 163 | 4.30 141 | 33.60 160 | 11.70 159 | 44.50 160 | 7.30 146 | 18.90 160 | 22.60 158 | 7.10 146 | 3.90 133 |
|
| SR-MVS-dyc-post | | | 11.55 142 | 11.55 144 | 11.55 151 | 11.55 158 | 11.55 160 | 11.55 157 | 11.55 166 | 11.55 158 | 11.55 158 | 11.55 153 | 11.55 160 | 11.55 157 | 11.55 155 | 11.55 158 | 11.55 157 |
|
| test_method | | | 18.29 144 | 20.89 146 | 10.50 149 | 15.00 159 | 13.00 161 | 55.00 164 | 3.00 140 | 34.00 161 | 11.50 157 | 32.50 155 | 5.00 135 | 13.50 158 | 27.00 159 | 5.00 135 | 5.00 135 |
|
| XXY-MVS | | | 15.00 143 | 15.00 145 | 15.00 152 | 15.00 159 | 15.00 162 | 15.00 158 | 15.00 168 | 15.00 159 | 15.00 160 | 15.00 154 | 15.00 164 | 15.00 159 | 15.00 157 | 15.00 160 | 15.00 159 |
|
| BH-w/o | | | 40.00 146 | 40.00 148 | 40.00 154 | 40.00 162 | 40.00 163 | 40.00 159 | 40.00 187 | 40.00 162 | 40.00 162 | 40.00 156 | 40.00 181 | 40.00 162 | 40.00 160 | 40.00 174 | 40.00 170 |
|
| BH-untuned | | | 40.00 146 | 40.00 148 | 40.00 154 | 40.00 162 | 40.00 163 | 40.00 159 | 40.00 187 | 40.00 162 | 40.00 162 | 40.00 156 | 40.00 181 | 40.00 162 | 40.00 160 | 40.00 174 | 40.00 170 |
|
| BH-RMVSNet | | | 40.00 146 | 40.00 148 | 40.00 154 | 40.00 162 | 40.00 163 | 40.00 159 | 40.00 187 | 40.00 162 | 40.00 162 | 40.00 156 | 40.00 181 | 40.00 162 | 40.00 160 | 40.00 174 | 40.00 170 |
|
| TR-MVS | | | 40.00 146 | 40.00 148 | 40.00 154 | 40.00 162 | 40.00 163 | 40.00 159 | 40.00 187 | 40.00 162 | 40.00 162 | 40.00 156 | 40.00 181 | 40.00 162 | 40.00 160 | 40.00 174 | 40.00 170 |
|
| GBi-Net | | | 44.67 150 | 49.24 152 | 30.96 153 | 47.53 166 | 47.57 167 | 126.09 165 | 8.00 152 | 76.99 166 | 26.09 161 | 73.50 162 | 11.27 159 | 30.55 161 | 61.12 164 | 12.58 159 | 14.75 158 |
|
| new_pmnet | | | 88.14 152 | 98.62 153 | 56.70 158 | 98.14 173 | 56.07 168 | 246.79 167 | 15.37 169 | 148.06 167 | 50.77 166 | 143.13 163 | 23.35 165 | 62.65 166 | 93.26 165 | 68.71 184 | 51.38 180 |
|
| N_pmnet | | | 88.14 152 | 98.62 153 | 56.70 158 | 98.14 173 | 56.07 168 | 246.79 167 | 15.37 169 | 148.06 167 | 50.77 166 | 143.13 163 | 23.35 165 | 62.65 166 | 93.26 165 | 68.71 184 | 51.38 180 |
|
| MTAPA | | | 833442.10 304 | 1111233.77 310 | 67.09 160 | 65.59 167 | 64.81 170 | 284.50 169 | 10000000.00 342 | 219.97 172 | 59.62 168 | 229.89 176 | 12.72 161 | 103.00 181 | 203.67 182 | 27.93 161 | 33.46 160 |
|
| MP-MVS-pluss | | | 833433.63 303 | 1111219.60 309 | 75.70 164 | 74.28 168 | 73.29 171 | 284.50 169 | 11.35 164 | 238.58 173 | 65.86 169 | 255.35 181 | 14.55 162 | 115.69 183 | 10000000.00 336 | 31.94 162 | 38.12 168 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 157 | 133.18 159 | 75.70 164 | 74.28 168 | 73.29 171 | 284.50 169 | 11.35 164 | 238.58 173 | 65.86 169 | 255.35 181 | 14.55 162 | 115.69 183 | 222.18 183 | 31.94 162 | 38.12 168 |
|
| CANet | | | 110.62 154 | 124.04 156 | 70.34 161 | 82.03 170 | 74.27 173 | 325.54 173 | 25.25 172 | 207.16 169 | 69.28 171 | 194.38 166 | 27.53 167 | 95.79 175 | 147.76 169 | 37.43 164 | 40.97 174 |
|
| CANet_DTU | | | 110.62 154 | 124.04 156 | 70.34 161 | 82.03 170 | 74.27 173 | 325.54 173 | 25.25 172 | 207.16 169 | 69.28 171 | 194.38 166 | 27.53 167 | 95.79 175 | 147.76 169 | 37.43 164 | 40.97 174 |
|
| UGNet | | | 110.62 154 | 124.04 156 | 70.34 161 | 82.03 170 | 74.27 173 | 325.54 173 | 25.25 172 | 207.16 169 | 69.28 171 | 194.38 166 | 27.53 167 | 95.79 175 | 147.76 169 | 37.43 164 | 40.97 174 |
| 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 |
| DSMNet-mixed | | | 131.33 165 | 143.00 167 | 96.33 176 | 99.00 175 | 81.00 176 | 201.00 166 | 45.00 192 | 335.00 185 | 99.00 184 | 251.00 180 | 38.00 180 | 110.00 182 | 120.00 168 | 99.00 190 | 98.00 186 |
|
| PVSNet_Blended_VisFu | | | 136.90 166 | 155.40 168 | 81.40 173 | 111.00 183 | 96.20 177 | 407.00 183 | 25.90 175 | 251.60 175 | 85.10 181 | 240.50 177 | 37.00 177 | 99.90 178 | 199.80 179 | 40.70 178 | 48.10 177 |
|
| PVSNet_BlendedMVS | | | 136.90 166 | 155.40 168 | 81.40 173 | 111.00 183 | 96.20 177 | 407.00 183 | 25.90 175 | 251.60 175 | 85.10 181 | 240.50 177 | 37.00 177 | 99.90 178 | 199.80 179 | 40.70 178 | 48.10 177 |
|
| PVSNet_Blended | | | 136.90 166 | 155.40 168 | 81.40 173 | 111.00 183 | 96.20 177 | 407.00 183 | 25.90 175 | 251.60 175 | 85.10 181 | 240.50 177 | 37.00 177 | 99.90 178 | 199.80 179 | 40.70 178 | 48.10 177 |
|
| FMVSNet5 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| test1 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| FMVSNet3 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| FMVSNet2 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| FMVSNet1 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| MIMVSNet1 | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| MIMVSNet | | | 124.76 158 | 140.93 160 | 76.26 166 | 107.44 176 | 100.17 180 | 329.88 176 | 27.12 178 | 259.44 178 | 74.30 174 | 204.34 169 | 30.74 170 | 92.41 168 | 196.98 172 | 38.15 167 | 36.19 161 |
|
| BP-MVS1 | | | 202.65 169 | 232.15 171 | 114.16 177 | 183.40 187 | 141.78 187 | 655.87 191 | 24.69 171 | 372.56 186 | 109.76 185 | 356.89 183 | 47.15 185 | 139.51 185 | 284.15 185 | 54.86 181 | 61.20 182 |
|
| FE-MVS | | | 207.10 170 | 234.26 172 | 125.61 178 | 180.34 186 | 153.23 188 | 635.64 190 | 30.05 185 | 378.38 187 | 127.68 186 | 377.08 184 | 48.95 186 | 154.43 186 | 266.67 184 | 63.56 182 | 69.18 183 |
|
| GDP-MVS | | | 219.79 171 | 249.11 173 | 131.85 179 | 187.15 188 | 155.97 189 | 667.31 192 | 30.57 186 | 398.95 188 | 131.26 187 | 387.86 185 | 58.83 188 | 164.55 187 | 315.00 186 | 65.03 183 | 75.04 184 |
|
| kuosan | | | 267.89 174 | 301.05 176 | 168.41 181 | 244.05 192 | 177.28 190 | 667.98 193 | 65.76 194 | 533.41 192 | 157.79 189 | 492.01 188 | 104.69 203 | 226.72 190 | 364.47 190 | 79.31 186 | 101.21 188 |
|
| DP-MVS | | | 264.78 173 | 296.02 175 | 171.04 182 | 191.70 189 | 183.96 191 | 827.10 199 | 78.36 203 | 438.24 189 | 176.64 190 | 435.12 186 | 65.04 190 | 230.52 192 | 334.02 188 | 117.96 198 | 98.64 187 |
|
| SSC-MVS | | | 320.23 176 | 364.09 178 | 188.66 183 | 260.78 194 | 193.84 192 | 975.93 207 | 73.11 199 | 596.72 197 | 185.29 191 | 589.02 194 | 74.47 192 | 246.01 193 | 427.42 194 | 94.06 189 | 126.12 191 |
|
| tmp_tt | | | 371.08 182 | 412.78 183 | 246.00 193 | 231.00 190 | 197.00 193 | 1293.00 226 | 376.00 267 | 756.00 212 | 609.00 245 | 71.00 161 | 106.00 204 | 195.00 188 | 102.00 167 | 171.00 215 | 346.00 241 |
|
| FA-MVS(test-final) | | | 261.15 172 | 293.29 174 | 164.72 180 | 236.23 191 | 199.99 194 | 800.05 198 | 42.35 191 | 475.87 190 | 155.47 188 | 470.67 187 | 58.49 187 | 205.24 189 | 319.44 187 | 81.03 187 | 88.93 185 |
|
| UWE-MVS-28 | | | 327.73 177 | 369.67 179 | 201.90 185 | 281.09 200 | 210.75 195 | 832.98 200 | 74.67 202 | 680.98 205 | 198.23 193 | 613.42 197 | 112.56 206 | 259.80 195 | 418.76 192 | 114.35 192 | 135.15 197 |
|
| Syy-MVS | | | 370.76 181 | 415.60 184 | 236.25 189 | 310.54 202 | 210.76 196 | 965.13 205 | 98.58 218 | 746.06 210 | 266.26 204 | 788.85 210 | 91.37 197 | 364.76 208 | 357.17 189 | 116.42 195 | 133.22 195 |
|
| WB-MVS | | | 316.44 175 | 357.41 177 | 193.51 184 | 257.06 193 | 213.32 197 | 914.45 201 | 49.03 193 | 600.77 198 | 186.42 192 | 634.00 200 | 75.03 193 | 251.35 194 | 411.39 191 | 88.55 188 | 115.87 190 |
|
| testing11 | | | 348.86 179 | 393.09 181 | 216.15 186 | 275.24 197 | 239.53 198 | 915.55 202 | 72.35 196 | 679.89 204 | 215.75 196 | 633.79 199 | 118.08 208 | 276.62 196 | 509.56 205 | 117.61 197 | 132.30 193 |
|
| testing91 | | | 347.05 178 | 389.92 180 | 218.43 187 | 275.92 198 | 241.43 199 | 923.71 203 | 71.70 195 | 667.65 203 | 217.04 197 | 629.00 198 | 113.33 207 | 281.39 197 | 495.50 197 | 115.45 194 | 132.47 194 |
|
| WAC-MVS | | | | | | | 248.46 200 | | | | | | | | 422.23 193 | | |
|
| RPSCF | | | 394.81 185 | 445.63 187 | 242.35 191 | 276.55 199 | 253.63 201 | 1207.27 223 | 90.69 212 | 715.56 206 | 241.57 200 | 684.87 201 | 111.96 205 | 320.02 202 | 548.38 209 | 133.81 200 | 153.39 203 |
|
| myMVS_eth3d | | | 390.90 184 | 437.44 185 | 251.28 195 | 310.54 202 | 255.86 202 | 965.13 205 | 98.58 218 | 746.06 210 | 266.26 204 | 788.85 210 | 154.95 219 | 364.76 208 | 490.19 196 | 116.42 195 | 133.22 195 |
|
| UWE-MVS | | | 387.98 183 | 438.66 186 | 235.93 188 | 349.32 207 | 257.61 203 | 1081.50 215 | 82.45 207 | 637.74 202 | 257.12 201 | 738.54 205 | 134.25 212 | 308.00 198 | 531.93 207 | 135.11 201 | 142.17 199 |
|
| EG-PatchMatch MVS | | | 437.03 191 | 493.12 195 | 268.77 199 | 264.80 196 | 260.20 204 | 1491.80 230 | 98.00 217 | 723.20 209 | 238.80 199 | 722.40 204 | 63.10 189 | 382.00 212 | 629.00 217 | 207.00 224 | 164.10 207 |
|
| dongtai | | | 360.45 180 | 401.64 182 | 236.89 190 | 303.10 201 | 262.16 205 | 963.12 204 | 72.78 197 | 622.82 201 | 199.37 194 | 708.06 203 | 130.96 211 | 310.90 200 | 506.46 204 | 108.11 191 | 137.60 198 |
|
| testing99 | | | 408.82 187 | 462.15 189 | 248.86 194 | 322.45 204 | 269.42 206 | 1118.93 218 | 73.26 200 | 719.36 208 | 262.28 202 | 772.10 207 | 150.98 218 | 327.08 203 | 601.98 213 | 137.99 202 | 150.07 201 |
|
| testing222 | | | 430.52 190 | 487.50 194 | 259.56 197 | 379.87 215 | 282.69 207 | 1138.34 219 | 81.30 205 | 880.86 217 | 281.58 207 | 834.27 218 | 135.83 214 | 333.22 204 | 514.90 206 | 140.56 203 | 162.76 204 |
|
| testing3 | | | 418.10 188 | 469.06 190 | 265.23 198 | 335.69 205 | 290.63 208 | 1240.88 224 | 93.72 213 | 717.99 207 | 215.31 195 | 811.97 216 | 232.41 250 | 358.74 206 | 458.67 195 | 114.88 193 | 146.32 200 |
|
| myMVS_eth3d28 | | | 418.40 189 | 473.07 191 | 254.39 196 | 261.18 195 | 313.04 209 | 1172.79 221 | 74.16 201 | 929.18 221 | 264.68 203 | 745.72 206 | 139.03 216 | 318.91 201 | 549.18 210 | 121.71 199 | 131.21 192 |
|
| MVP-Stereo | | | 473.58 195 | 533.67 197 | 293.33 202 | 376.00 212 | 318.00 210 | 1461.00 228 | 96.00 214 | 835.00 215 | 290.00 211 | 804.00 213 | 97.00 199 | 383.00 214 | 688.00 225 | 156.00 206 | 179.00 209 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 195 | 533.67 197 | 293.33 202 | 376.00 212 | 318.00 210 | 1461.00 228 | 96.00 214 | 835.00 215 | 290.00 211 | 804.00 213 | 97.00 199 | 383.00 214 | 688.00 225 | 156.00 206 | 179.00 209 |
|
| testing3-2 | | | 489.51 197 | 555.88 200 | 290.42 201 | 362.21 209 | 319.27 212 | 1424.84 227 | 88.81 211 | 964.80 222 | 309.62 214 | 879.13 220 | 174.38 226 | 363.98 207 | 643.82 221 | 155.29 205 | 188.01 212 |
|
| WB-MVSnew | | | 404.84 186 | 458.00 188 | 245.36 192 | 374.70 211 | 320.27 213 | 1193.74 222 | 72.90 198 | 773.77 213 | 238.30 198 | 688.22 202 | 90.05 196 | 308.59 199 | 532.76 208 | 157.54 209 | 107.21 189 |
|
| ETVMVS | | | 443.50 194 | 498.07 196 | 279.78 200 | 378.05 214 | 321.57 214 | 1163.68 220 | 87.12 208 | 897.50 220 | 269.81 206 | 822.83 217 | 141.20 217 | 334.53 205 | 568.21 212 | 154.21 204 | 183.26 211 |
|
| SSC-MVS3.2 | | | 667.82 209 | 787.71 213 | 308.16 206 | 385.94 216 | 327.65 215 | 1718.51 233 | 117.00 227 | 1942.46 259 | 317.12 216 | 1488.73 250 | 183.89 227 | 404.82 218 | 763.70 227 | 172.02 216 | 192.01 216 |
|
| UBG | | | 667.82 209 | 787.71 213 | 308.16 206 | 385.94 216 | 327.65 215 | 1718.51 233 | 117.00 227 | 1942.46 259 | 317.12 216 | 1488.73 250 | 183.89 227 | 404.82 218 | 763.70 227 | 172.02 216 | 192.01 216 |
|
| DELS-MVS | | | 514.57 200 | 587.73 203 | 295.12 204 | 343.03 206 | 328.09 217 | 1540.48 232 | 116.22 226 | 988.59 223 | 325.44 218 | 906.22 221 | 119.86 210 | 365.72 210 | 788.60 229 | 161.09 212 | 191.55 215 |
| 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 |
| WBMVS | | | 655.88 207 | 770.84 212 | 310.98 208 | 391.79 218 | 353.00 218 | 2280.68 240 | 99.17 221 | 1776.79 254 | 301.20 213 | 1123.23 236 | 187.34 236 | 390.28 216 | 620.39 216 | 156.98 208 | 189.66 214 |
|
| tpmvs | | | 501.65 199 | 567.42 201 | 304.33 205 | 395.39 219 | 356.32 219 | 1512.04 231 | 216.53 254 | 994.15 224 | 350.16 220 | 804.16 215 | 119.38 209 | 380.98 211 | 555.14 211 | 159.87 211 | 175.69 208 |
|
| PatchmatchNet |  | | 492.52 198 | 551.22 199 | 316.40 209 | 400.20 220 | 357.90 220 | 1277.10 225 | 115.80 225 | 1034.60 231 | 315.90 215 | 874.00 219 | 155.10 220 | 402.20 217 | 629.50 218 | 158.80 210 | 189.10 213 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| ACMH+ | | 729.97 2 | 661.38 208 | 754.00 210 | 383.51 214 | 368.96 210 | 376.38 221 | 2483.74 252 | 82.42 206 | 1089.25 232 | 333.39 219 | 1219.68 237 | 66.53 191 | 573.60 237 | 957.86 235 | 184.14 220 | 200.56 218 |
|
| ADS-MVSNet2 | | | 443.33 192 | 482.84 192 | 324.79 211 | 434.94 224 | 387.73 222 | 1110.57 216 | 87.69 209 | 887.02 218 | 282.92 208 | 779.29 208 | 98.57 201 | 422.76 220 | 502.40 198 | 162.19 213 | 163.87 205 |
|
| ADS-MVSNet | | | 443.33 192 | 482.84 192 | 324.79 211 | 434.94 224 | 387.73 222 | 1110.57 216 | 87.69 209 | 887.02 218 | 282.92 208 | 779.29 208 | 98.57 201 | 422.76 220 | 502.40 198 | 162.19 213 | 163.87 205 |
|
| IB-MVS | | 872.44 4 | 616.41 206 | 700.96 209 | 362.78 213 | 426.10 223 | 409.25 224 | 1822.69 235 | 124.42 237 | 1186.23 234 | 366.85 222 | 1079.42 233 | 190.60 238 | 451.78 222 | 930.72 234 | 181.59 219 | 227.30 220 |
| 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 |
| CSCG | | | 826.03 224 | 963.29 229 | 414.24 216 | 421.52 222 | 426.11 225 | 2230.35 239 | 179.52 250 | 1827.44 255 | 733.43 256 | 933.12 223 | 281.25 252 | 545.23 228 | 1800.35 264 | 262.64 238 | 271.38 229 |
|
| DP-MVS Recon | | | 516.25 201 | 581.17 202 | 321.48 210 | 361.02 208 | 429.00 226 | 1995.36 238 | 78.48 204 | 796.20 214 | 283.32 210 | 796.02 212 | 96.78 198 | 382.98 213 | 636.72 219 | 186.66 221 | 152.46 202 |
|
| IterMVS | | | 615.05 205 | 691.66 208 | 385.23 215 | 516.40 227 | 454.80 227 | 1863.80 236 | 102.10 222 | 1142.20 233 | 364.10 221 | 1093.20 235 | 135.00 213 | 480.40 223 | 826.90 230 | 181.20 218 | 220.50 219 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| Patchmtry | | | 1090.75 239 | 1198.88 241 | 766.38 250 | 1290.90 271 | 485.90 228 | 2423.98 250 | 1267.30 322 | 1297.17 236 | 923.90 258 | 923.40 222 | 1215.54 315 | 990.23 255 | 667.90 222 | 779.80 272 | 823.02 270 |
|
| PMVS | | 863.65 3 | 957.08 229 | 1054.11 238 | 666.00 243 | 401.00 221 | 495.00 229 | 3790.00 260 | 279.00 256 | 1607.00 252 | 521.00 237 | 1745.00 255 | 90.00 194 | 1105.00 266 | 639.00 220 | 415.00 251 | 398.00 248 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| gg-mvs-nofinetune | | | 594.69 202 | 605.37 204 | 562.67 232 | 617.29 240 | 500.33 230 | 772.30 194 | 413.12 275 | 579.21 193 | 552.71 239 | 567.40 189 | 662.54 294 | 531.67 224 | 503.93 200 | 779.80 272 | 656.02 256 |
|
| ACMH | | 993.80 5 | 967.92 230 | 1106.11 240 | 553.33 231 | 494.00 226 | 534.00 231 | 3581.00 258 | 136.00 239 | 1585.00 251 | 478.00 234 | 1871.00 257 | 90.00 194 | 839.00 249 | 1460.00 258 | 260.00 237 | 287.00 232 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| new-patchmatchnet | | | 766.12 213 | 859.03 218 | 487.38 228 | 595.68 229 | 536.14 232 | 2346.27 242 | 142.51 242 | 1488.08 241 | 422.43 223 | 1361.32 241 | 163.65 223 | 628.60 242 | 1003.74 244 | 207.61 225 | 297.41 234 |
|
| mvs_anonymous | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
|
| casdiffmvs | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
| 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 | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
| 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 | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
|
| baseline1 | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
|
| casdiffmvs_mvg | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
| 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 | | | 774.90 215 | 882.28 221 | 452.77 217 | 636.50 241 | 537.20 233 | 2348.80 243 | 120.30 229 | 1504.30 242 | 474.40 227 | 1371.10 242 | 186.90 229 | 564.70 230 | 1078.90 247 | 219.30 227 | 256.40 221 |
|
| IterMVS-LS | | | 758.94 212 | 856.56 217 | 466.10 225 | 606.60 232 | 546.80 240 | 2309.90 241 | 122.20 236 | 1402.80 239 | 463.50 226 | 1348.20 239 | 192.60 239 | 574.60 238 | 1028.60 245 | 234.60 236 | 276.90 230 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| SixPastTwentyTwo | | | 773.62 214 | 869.37 220 | 486.35 227 | 603.45 231 | 547.15 241 | 2532.14 253 | 106.92 224 | 1434.95 240 | 428.08 224 | 1360.56 240 | 165.15 224 | 628.96 243 | 984.09 236 | 209.01 226 | 282.94 231 |
|
| Gipuma | | | 689.75 211 | 767.00 211 | 458.00 224 | 613.00 239 | 549.00 242 | 1943.00 237 | 187.00 251 | 1230.00 235 | 518.00 236 | 1092.00 234 | 203.00 244 | 564.00 229 | 892.00 233 | 225.00 234 | 261.00 228 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PVSNet | | 1207.94 6 | 829.56 225 | 937.18 228 | 506.69 229 | 645.55 248 | 585.72 243 | 2477.98 251 | 130.52 238 | 1578.29 250 | 509.50 235 | 1460.01 249 | 194.90 240 | 637.19 244 | 1170.78 255 | 267.07 240 | 297.17 233 |
|
| GG-mvs-BLEND | | | | | 596.01 235 | 611.29 236 | 600.33 244 | 790.30 195 | 513.12 290 | | 552.71 239 | 567.40 189 | 662.54 294 | 531.67 224 | 503.93 200 | 779.80 272 | 656.02 256 |
|
| gm-plane-assit | | | | | | 611.29 236 | 600.33 244 | | | 579.21 193 | | 567.40 189 | | 531.67 224 | 503.93 200 | | |
|
| CR-MVSNet | | | 612.36 204 | 617.81 207 | 596.01 235 | 611.29 236 | 600.33 244 | 790.30 195 | 513.12 290 | 579.21 193 | 552.71 239 | 567.40 189 | 662.54 294 | 531.67 224 | 503.93 200 | 779.80 272 | 656.02 256 |
|
| RE-MVS-def | | | | 610.10 205 | | 610.10 234 | 610.10 247 | 610.10 188 | 610.10 299 | 610.10 199 | 610.10 246 | 610.10 195 | 610.10 282 | | 610.10 214 | 610.10 255 | 610.10 253 |
|
| SR-MVS | | | 610.10 203 | 610.10 205 | 610.10 237 | 610.10 234 | 610.10 247 | 610.10 188 | 610.10 299 | 610.10 199 | 610.10 246 | 610.10 195 | 610.10 282 | 610.10 240 | 610.10 214 | 610.10 255 | 610.10 253 |
|
| ACMP | | 1246.57 7 | 1086.24 238 | 1235.17 242 | 639.45 238 | 596.53 230 | 639.91 249 | 3904.24 261 | 152.04 245 | 1851.54 256 | 566.58 243 | 1997.95 259 | 138.50 215 | 938.30 253 | 1605.46 260 | 303.70 246 | 340.14 239 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| lessismore_v0 | | | | | 569.20 233 | 667.25 250 | 644.68 250 | | 96.45 216 | | 428.86 225 | 1514.17 252 | 204.21 245 | 756.58 246 | 1061.60 246 | 197.79 223 | 306.34 235 |
|
| MVSTER | | | 890.06 228 | 1005.91 237 | 542.52 230 | 736.13 253 | 653.90 251 | 2616.56 255 | 145.22 244 | 1692.10 253 | 555.69 242 | 1554.72 253 | 266.25 251 | 660.02 245 | 1219.66 256 | 266.84 239 | 313.64 237 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 231 | 1066.82 239 | 673.70 244 | 706.94 251 | 695.69 252 | 2669.02 256 | 153.52 246 | 2108.17 262 | 605.54 244 | 1679.14 254 | 213.26 248 | 886.75 252 | 1236.76 257 | 229.01 235 | 438.67 249 |
|
| MSLP-MVS++ | | | 1242.93 243 | 1411.08 246 | 738.48 248 | 712.71 252 | 712.68 253 | 4168.17 263 | 136.50 240 | 2276.40 264 | 613.28 248 | 2368.60 264 | 161.61 222 | 1130.38 267 | 1964.54 267 | 297.88 243 | 372.39 244 |
|
| ACMM | | 1311.08 8 | 1165.06 242 | 1332.72 245 | 662.07 242 | 584.90 228 | 715.99 254 | 4373.59 265 | 153.99 247 | 1880.27 257 | 709.02 253 | 2316.97 261 | 188.63 237 | 939.89 254 | 1484.30 259 | 302.78 245 | 330.34 238 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MVS_111021_LR | | | 1136.45 241 | 1298.72 244 | 649.64 239 | 756.17 254 | 726.26 255 | 3785.94 259 | 138.15 241 | 2190.64 263 | 629.63 249 | 2064.39 260 | 165.45 225 | 874.83 251 | 1678.43 263 | 279.70 241 | 347.82 242 |
|
| MG-MVS | | | 1256.50 244 | 1432.00 247 | 730.00 247 | 610.00 233 | 760.00 256 | 4720.00 266 | 169.00 248 | 1920.00 258 | 723.00 255 | 2510.00 267 | 201.00 242 | 1050.00 264 | 1645.00 262 | 390.00 250 | 380.00 245 |
|
| ACMMPR | | | 1296.60 245 | 1480.82 248 | 743.96 249 | 899.25 258 | 763.47 257 | 4305.47 264 | 143.90 243 | 2530.94 267 | 683.99 250 | 2346.34 263 | 201.65 243 | 1098.25 265 | 1920.59 266 | 295.21 242 | 370.16 243 |
|
| test_0402 | | | 1110.00 240 | 1260.00 243 | 660.00 240 | 900.00 259 | 780.00 258 | 3300.00 257 | 210.00 253 | 2040.00 261 | 690.00 251 | 1950.00 258 | 300.00 255 | 810.00 248 | 1620.00 261 | 330.00 247 | 390.00 247 |
|
| K. test v3 | | | 877.74 227 | 980.16 230 | 570.46 234 | 1316.85 273 | 813.15 259 | 2565.52 254 | 103.78 223 | 1509.49 249 | 548.33 238 | 1258.90 238 | 219.93 249 | 587.82 239 | 1102.37 254 | 196.30 222 | 310.42 236 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 248 | 1886.82 252 | 481.89 226 | 847.73 255 | 830.16 260 | 7943.84 285 | 189.23 252 | 2398.83 265 | 691.73 252 | 2341.13 262 | 209.16 246 | 230.25 191 | 1999.25 268 | 360.46 248 | 385.25 246 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| TSAR-MVS + GP. | | | 1386.84 246 | 1622.84 250 | 678.81 245 | 952.13 260 | 840.17 261 | 5358.21 269 | 170.75 249 | 2650.47 268 | 713.54 254 | 2394.28 265 | 209.42 247 | 855.56 250 | 1854.36 265 | 302.42 244 | 340.71 240 |
|
| PatchT | | | 856.34 226 | 860.99 219 | 842.38 251 | 1290.90 271 | 880.90 262 | 790.30 195 | 1267.30 322 | 579.21 193 | 923.90 258 | 567.40 189 | 662.54 294 | 990.23 255 | 887.56 232 | 779.80 272 | 656.02 256 |
|
| FPMVS | | | 1407.00 247 | 1495.59 249 | 1141.23 260 | 648.01 249 | 893.85 263 | 4124.00 262 | 503.81 289 | 3219.04 270 | 742.72 257 | 2498.84 266 | 157.98 221 | 1727.83 273 | 832.93 231 | 732.98 271 | 802.00 265 |
|
| JIA-IIPM | | | 804.30 223 | 835.64 216 | 710.26 246 | 885.90 256 | 895.90 264 | 455.98 186 | 668.73 304 | 1297.17 236 | 1002.26 268 | 1001.67 231 | 655.98 292 | 756.98 247 | 667.90 222 | 885.21 284 | 477.90 250 |
|
| RPMNet | | | 787.26 222 | 829.13 215 | 661.63 241 | 885.90 256 | 895.90 264 | 455.98 186 | 610.10 299 | 1297.17 236 | 1002.26 268 | 1001.67 231 | 655.98 292 | 611.10 241 | 667.90 222 | 885.21 284 | 477.90 250 |
|
| ambc | | | | | 999.00 252 | 999.00 261 | 999.00 266 | 999.00 208 | 999.00 315 | | 999.00 261 | 999.00 224 | 999.00 307 | 999.00 257 | 999.00 237 | 999.00 291 | 999.00 288 |
|
| OurMVSNet-221017-0 | | | 999.00 232 | 999.00 231 | 999.00 252 | 999.00 261 | 999.00 266 | 999.00 208 | 999.00 315 | 999.00 225 | 999.00 261 | 999.00 224 | 999.00 307 | 999.00 257 | 999.00 237 | 999.00 291 | 999.00 288 |
|
| EPMVS | | | 999.00 232 | 999.00 231 | 999.00 252 | 999.00 261 | 999.00 266 | 999.00 208 | 999.00 315 | 999.00 225 | 999.00 261 | 999.00 224 | 999.00 307 | 999.00 257 | 999.00 237 | 999.00 291 | 999.00 288 |
|
| uanet_test | | | 1000.00 234 | 1000.00 233 | 1000.00 255 | 1000.00 264 | 1000.00 269 | 1000.00 211 | 1000.00 318 | 1000.00 227 | 1000.00 264 | 1000.00 227 | 1000.00 310 | 1000.00 260 | 1000.00 240 | 1000.00 294 | 1000.00 291 |
|
| sosnet | | | 1000.00 234 | 1000.00 233 | 1000.00 255 | 1000.00 264 | 1000.00 269 | 1000.00 211 | 1000.00 318 | 1000.00 227 | 1000.00 264 | 1000.00 227 | 1000.00 310 | 1000.00 260 | 1000.00 240 | 1000.00 294 | 1000.00 291 |
|
| USDC | | | 1000.00 234 | 1000.00 233 | 1000.00 255 | 1000.00 264 | 1000.00 269 | 1000.00 211 | 1000.00 318 | 1000.00 227 | 1000.00 264 | 1000.00 227 | 1000.00 310 | 1000.00 260 | 1000.00 240 | 1000.00 294 | 1000.00 291 |
|
| TinyColmap | | | 1000.00 234 | 1000.00 233 | 1000.00 255 | 1000.00 264 | 1000.00 269 | 1000.00 211 | 1000.00 318 | 1000.00 227 | 1000.00 264 | 1000.00 227 | 1000.00 310 | 1000.00 260 | 1000.00 240 | 1000.00 294 | 1000.00 291 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 249 | 1869.33 251 | 1025.33 259 | 1030.00 268 | 1023.00 273 | 5311.00 268 | 359.00 265 | 3044.00 269 | 937.00 260 | 2892.00 268 | 332.00 259 | 1440.00 270 | 2312.00 270 | 607.00 254 | 613.00 255 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| F-COLMAP | | | 1878.17 250 | 2113.11 253 | 1173.33 263 | 1231.00 269 | 1174.00 274 | 6297.00 271 | 392.00 270 | 3356.00 272 | 1087.00 270 | 3082.00 269 | 361.00 263 | 1670.00 272 | 2523.00 272 | 689.00 261 | 676.00 260 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 256 | 2597.03 259 | 1297.84 264 | 1701.20 278 | 1332.37 275 | 8105.11 286 | 451.45 278 | 4031.84 277 | 1099.10 271 | 3966.50 276 | 467.45 271 | 1734.05 274 | 2701.68 275 | 848.94 281 | 827.11 271 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| PLC | | 2858.82 16 | 2192.92 254 | 2474.00 257 | 1349.67 265 | 1407.00 274 | 1356.00 276 | 7164.00 276 | 475.00 282 | 3970.00 276 | 1237.00 277 | 3765.00 275 | 451.00 270 | 1891.00 278 | 3006.00 276 | 791.00 277 | 802.00 265 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| OpenMVS_ROB | | 1936.51 10 | 1959.51 251 | 2224.88 255 | 1163.39 262 | 1253.91 270 | 1434.22 277 | 7065.71 275 | 272.76 255 | 2472.29 266 | 1647.54 300 | 3538.72 272 | 200.37 241 | 1496.48 271 | 2575.17 273 | 997.45 290 | 559.48 252 |
|
| MVS-HIRNet | | | 2125.39 253 | 2452.68 256 | 1143.53 261 | 2938.33 316 | 1446.92 278 | 6083.19 270 | 391.74 269 | 3801.71 275 | 1202.10 274 | 3439.72 270 | 492.73 273 | 1304.35 269 | 3048.25 277 | 676.32 260 | 679.32 261 |
|
| CMPMVS |  | 2623.62 15 | 1983.08 252 | 2156.14 254 | 1463.89 273 | 1414.80 275 | 1517.00 279 | 5239.20 267 | 867.40 309 | 3310.30 271 | 1128.70 272 | 3489.90 271 | 366.75 264 | 2030.20 284 | 2427.60 271 | 1160.60 303 | 844.46 273 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| AdaColmap | | | 2570.77 262 | 2948.61 265 | 1437.24 269 | 1873.64 288 | 1526.60 280 | 7819.77 283 | 373.97 266 | 4970.45 286 | 1479.29 285 | 4648.46 283 | 525.80 276 | 1904.97 279 | 4150.42 290 | 695.69 267 | 880.14 278 |
|
| 3Dnovator | | 2482.06 14 | 2531.17 260 | 2839.56 263 | 1606.00 274 | 1732.00 282 | 1557.00 281 | 8375.00 288 | 483.00 283 | 4370.00 282 | 1371.00 283 | 4200.00 277 | 350.00 261 | 2207.00 285 | 3877.00 285 | 798.00 278 | 1054.00 295 |
|
| OpenMVS | | 2352.88 13 | 2263.08 255 | 2530.89 258 | 1459.67 272 | 1767.00 286 | 1591.00 282 | 7932.00 284 | 399.00 271 | 3643.00 273 | 1176.00 273 | 3569.00 273 | 297.00 254 | 1927.00 280 | 3302.00 278 | 693.00 266 | 861.00 274 |
|
| test_0728_SECOND | | | | | 1451.45 270 | 1725.60 279 | 1598.35 283 | 9203.30 292 | 315.86 259 | | | | | 2023.43 281 | 3973.88 286 | 620.04 257 | 732.56 262 |
|
| test0726 | | | | | | 1725.60 279 | 1598.35 283 | 9203.30 292 | 315.86 259 | 5016.02 288 | 1363.85 280 | 4894.28 286 | 387.23 265 | | | | |
|
| SD-MVS | | | 2654.53 263 | 3055.56 268 | 1451.45 270 | 1725.60 279 | 1598.35 283 | 9203.30 292 | 315.86 259 | 5016.02 288 | 1363.85 280 | 4894.28 286 | 387.23 265 | 2023.43 281 | 3973.88 286 | 620.04 257 | 732.56 262 |
| 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 |
| CHOSEN 280x420 | | | 2340.81 257 | 2643.03 260 | 1434.14 266 | 2025.55 295 | 1629.36 286 | 6542.40 272 | 412.49 272 | 4219.70 279 | 1547.02 288 | 4328.52 278 | 650.74 289 | 1798.26 275 | 3333.17 279 | 727.72 268 | 874.79 275 |
|
| CHOSEN 1792x2688 | | | 2340.81 257 | 2643.03 260 | 1434.14 266 | 2025.55 295 | 1629.36 286 | 6542.40 272 | 412.49 272 | 4219.70 279 | 1547.02 288 | 4328.52 278 | 650.74 289 | 1798.26 275 | 3333.17 279 | 727.72 268 | 874.79 275 |
|
| HyFIR lowres test | | | 2340.81 257 | 2643.03 260 | 1434.14 266 | 2025.55 295 | 1629.36 286 | 6542.40 272 | 412.49 272 | 4219.70 279 | 1547.02 288 | 4328.52 278 | 650.74 289 | 1798.26 275 | 3333.17 279 | 727.72 268 | 874.79 275 |
|
| SteuartSystems-ACMMP | | | 2891.50 268 | 3284.78 271 | 1711.67 278 | 1954.00 289 | 1655.00 289 | 10117.00 305 | 445.00 277 | 5102.00 291 | 1375.00 284 | 5126.00 290 | 351.00 262 | 2638.00 298 | 4402.00 293 | 691.00 264 | 842.00 272 |
| Skip Steuart: Steuart Systems R&D Blog. |
| LF4IMVS | | | 2699.50 265 | 3049.67 267 | 1649.00 276 | 1755.00 283 | 1689.00 290 | 8330.00 287 | 464.00 280 | 4997.00 287 | 1528.00 286 | 4763.00 285 | 568.00 280 | 2296.00 287 | 4215.00 291 | 827.00 280 | 962.00 285 |
|
| tpm2 | | | 3617.85 275 | 4007.23 277 | 2449.73 295 | 2012.71 291 | 1698.05 291 | 7351.19 278 | 869.29 310 | 6132.06 294 | 1588.28 294 | 8007.42 310 | 1281.09 316 | 3888.11 314 | 7472.04 315 | 1351.00 305 | 1763.02 311 |
|
| tpm cat1 | | | 3617.85 275 | 4007.23 277 | 2449.73 295 | 2012.71 291 | 1698.05 291 | 7351.19 278 | 869.29 310 | 6132.06 294 | 1588.28 294 | 8007.42 310 | 1281.09 316 | 3888.11 314 | 7472.04 315 | 1351.00 305 | 1763.02 311 |
|
| CostFormer | | | 3617.85 275 | 4007.23 277 | 2449.73 295 | 2012.71 291 | 1698.05 291 | 7351.19 278 | 869.29 310 | 6132.06 294 | 1588.28 294 | 8007.42 310 | 1281.09 316 | 3888.11 314 | 7472.04 315 | 1351.00 305 | 1763.02 311 |
|
| tpm | | | 3617.85 275 | 4007.23 277 | 2449.73 295 | 2012.71 291 | 1698.05 291 | 7351.19 278 | 869.29 310 | 6132.06 294 | 1588.28 294 | 8007.42 310 | 1281.09 316 | 3888.11 314 | 7472.04 315 | 1351.00 305 | 1763.02 311 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 264 | 3021.57 266 | 1618.12 275 | 2377.67 302 | 1751.39 295 | 8915.70 291 | 567.44 297 | 4569.74 284 | 1236.84 276 | 4615.63 282 | 513.23 274 | 2291.32 286 | 3515.48 282 | 882.39 283 | 811.66 267 |
|
| tpmrst | | | 2557.50 261 | 2847.12 264 | 1688.66 277 | 1784.08 287 | 1778.25 296 | 7445.50 282 | 342.14 262 | 4471.54 283 | 1534.55 287 | 4382.10 281 | 530.10 277 | 2361.21 288 | 4142.81 289 | 991.22 289 | 926.51 280 |
|
| DPM-MVS | | | 3268.00 271 | 3762.89 274 | 1783.33 281 | 1756.00 284 | 1806.00 297 | 12319.00 308 | 307.00 257 | 6319.00 299 | 1557.00 291 | 5763.00 292 | 302.00 256 | 2609.00 294 | 5061.00 297 | 482.00 252 | 935.00 282 |
|
| OPM-MVS | | | 3268.00 271 | 3762.89 274 | 1783.33 281 | 1756.00 284 | 1806.00 297 | 12319.00 308 | 307.00 257 | 6319.00 299 | 1557.00 291 | 5763.00 292 | 302.00 256 | 2609.00 294 | 5061.00 297 | 482.00 252 | 935.00 282 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| ZD-MVS | | | | | | 1584.00 276 | 1821.00 299 | | 378.00 268 | 3721.00 274 | 1231.00 275 | 1833.00 256 | 321.00 258 | 1224.00 268 | 2103.00 269 | 692.00 265 | |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 270 | 3601.83 273 | 1814.72 283 | 2515.52 305 | 1941.53 300 | 10432.50 306 | 589.42 298 | 4789.45 285 | 1298.65 279 | 7677.31 307 | 578.35 281 | 2589.53 292 | 3611.78 284 | 923.52 286 | 913.10 279 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DVP-MVS++ | | | 3981.10 281 | 4731.32 286 | 1730.42 279 | 2191.51 298 | 1949.98 301 | 16473.90 317 | 355.33 263 | 7172.90 310 | 1622.98 298 | 7879.79 308 | 434.33 268 | 2428.11 290 | 5762.12 300 | 689.04 262 | 813.18 268 |
|
| DVP-MVS | | | 3981.10 281 | 4731.32 286 | 1730.42 279 | 2191.51 298 | 1949.98 301 | 16473.90 317 | 355.33 263 | 7172.90 310 | 1622.98 298 | 7879.79 308 | 434.33 268 | 2428.11 290 | 5762.12 300 | 689.04 262 | 813.18 268 |
| 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 |
| ITE_SJBPF | | | | | 2014.00 289 | 1998.00 290 | 1992.00 303 | | 701.00 305 | 5989.00 293 | 1812.00 304 | 3612.00 274 | 650.00 288 | 2852.00 301 | 4601.00 295 | 1195.00 304 | 1198.00 301 |
|
| 3Dnovator+ | | 3414.41 17 | 3146.67 269 | 3537.00 272 | 1975.67 285 | 2310.00 300 | 2005.00 304 | 10100.00 304 | 626.00 302 | 5753.00 292 | 1803.00 303 | 5179.00 291 | 487.00 272 | 2622.00 296 | 4550.00 294 | 1025.00 298 | 1300.00 302 |
|
| Vis-MVSNet | | | 2877.42 267 | 3170.00 270 | 1999.67 288 | 1673.00 277 | 2042.00 305 | 8593.00 289 | 474.00 281 | 6452.00 301 | 1268.00 278 | 5125.00 289 | 339.00 260 | 3004.00 302 | 4222.00 292 | 384.00 249 | 953.00 284 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| TSAR-MVS + MP. | | | 3528.01 274 | 4065.89 281 | 1914.35 284 | 2349.10 301 | 2141.30 306 | 12362.70 310 | 417.60 276 | 6717.80 305 | 1759.40 302 | 6497.50 295 | 518.18 275 | 2629.38 297 | 5164.32 299 | 806.40 279 | 972.38 287 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| EGC-MVSNET | | | 2819.75 266 | 3096.89 269 | 1988.33 287 | 3105.00 317 | 2241.00 307 | 9480.00 296 | 640.00 303 | 4209.00 278 | 1583.00 293 | 4740.00 284 | 547.00 279 | 2797.00 300 | 2644.00 274 | 924.00 287 | 927.00 281 |
|
| MVS_111021_HR | | | 3742.80 279 | 4330.34 282 | 1980.20 286 | 2484.31 304 | 2259.52 308 | 14973.80 315 | 515.90 296 | 6500.13 302 | 1949.21 305 | 6146.89 294 | 535.66 278 | 2593.66 293 | 4880.76 296 | 986.37 288 | 1087.43 296 |
|
| GST-MVS | | | 4000.00 283 | 4533.33 284 | 2400.00 294 | 2400.00 303 | 2400.00 309 | 7200.00 277 | 2400.00 326 | 7200.00 312 | 2400.00 314 | 7200.00 302 | 2400.00 320 | 2400.00 289 | 7200.00 313 | 2400.00 317 | 2400.00 316 |
|
| FOURS1 | | | | | | 2643.17 307 | 2465.14 310 | 13996.40 312 | 493.26 284 | 7619.38 313 | 2107.24 306 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 291 | 2643.17 307 | 2465.14 310 | | 493.26 284 | | | | | 3088.29 307 | 6075.14 307 | 1078.39 299 | 1159.26 297 |
|
| No_MVS | | | | | 2237.56 291 | 2643.17 307 | 2465.14 310 | | 493.26 284 | | | | | 3088.29 307 | 6075.14 307 | 1078.39 299 | 1159.26 297 |
|
| test_one_0601 | | | | | | 2643.17 307 | 2465.14 310 | | 493.26 284 | 7619.38 313 | 2107.24 306 | 7416.93 304 | 610.24 284 | | | | |
|
| SED-MVS | | | 4062.74 284 | 4671.13 285 | 2237.56 291 | 2643.17 307 | 2465.14 310 | 13996.40 312 | 493.26 284 | 7619.38 313 | 2107.24 306 | 7416.93 304 | 610.24 284 | 3088.29 307 | 6075.14 307 | 1078.39 299 | 1159.26 297 |
|
| TAPA-MVS | | 6309.84 21 | 3374.90 273 | 3806.99 276 | 2078.63 290 | 2535.47 306 | 2499.25 315 | 8816.16 290 | 456.05 279 | 6255.60 298 | 1664.52 301 | 6704.88 297 | 629.95 287 | 2768.38 299 | 6343.93 311 | 856.35 282 | 968.25 286 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| IU-MVS | | | | | | 2725.60 312 | 2598.35 316 | | 515.86 292 | 7016.02 306 | 2363.85 310 | | | | 5973.88 303 | 1620.04 311 | 1732.56 307 |
|
| OPU-MVS | | | | | 2451.45 299 | 2725.60 312 | 2598.35 316 | 9203.30 292 | | | | 6894.28 298 | 887.23 302 | 3023.43 303 | 5973.88 303 | 1620.04 311 | 1732.56 307 |
|
| test_241102_ONE | | | | | | 2725.60 312 | 2598.35 316 | | 515.86 292 | 7016.02 306 | 2363.85 310 | 6894.28 298 | 887.23 302 | 3023.43 303 | | | |
|
| MSP-MVS | | | 4296.20 285 | 4911.12 289 | 2451.45 299 | 2725.60 312 | 2598.35 316 | 16203.30 316 | 515.86 292 | 7016.02 306 | 2363.85 310 | 6894.28 298 | 887.23 302 | 3023.43 303 | 5973.88 303 | 1620.04 311 | 1732.56 307 |
| 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 |
| OMC-MVS | | | 5022.26 287 | 5748.82 290 | 2842.58 303 | 4905.27 321 | 3101.27 320 | 14933.60 314 | 812.24 308 | 9278.40 317 | 2959.29 317 | 8800.17 314 | 1092.24 314 | 3806.30 313 | 7568.54 319 | 1389.60 309 | 1620.18 305 |
|
| API-MVS | | | 4380.83 286 | 4906.56 288 | 2803.67 302 | 3844.00 319 | 3116.00 321 | 13454.00 311 | 901.00 314 | 6511.00 303 | 2794.00 316 | 7365.00 303 | 754.00 298 | 3634.00 312 | 6622.00 312 | 1914.00 316 | 1661.00 306 |
|
| MAR-MVS | | | 3973.16 280 | 4387.92 283 | 2728.86 301 | 3345.27 318 | 3341.39 322 | 11403.90 307 | 798.76 307 | 6555.62 304 | 2569.29 315 | 6514.86 296 | 834.97 301 | 3237.43 311 | 5891.08 302 | 1577.54 310 | 1607.76 303 |
| 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 |
| CLD-MVS | | | 7338.25 288 | 8341.00 291 | 4330.00 304 | 4902.00 320 | 4991.00 323 | 23318.00 320 | 728.00 306 | 14437.00 327 | 4378.00 319 | 13379.00 322 | 824.00 300 | 5708.00 318 | 11429.00 328 | 1674.00 315 | 2291.00 315 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 289 | 8776.23 292 | 4410.16 305 | 5298.55 322 | 5631.53 324 | 34329.90 322 | 1504.57 324 | 11554.00 326 | 3896.41 318 | 15111.00 323 | 812.19 299 | 5985.63 319 | 3516.20 283 | 2963.23 318 | 1613.31 304 |
|
| CNLPA | | | 10738.67 298 | 11772.44 301 | 7637.33 306 | 9120.00 324 | 8206.00 325 | 22252.00 319 | 2010.00 325 | 24984.00 328 | 7458.00 321 | 22596.00 325 | 2940.00 321 | 10260.00 327 | 11100.00 327 | 3492.00 319 | 4446.00 317 |
|
| MVE | | 10021.00 22 | 10550.67 297 | 10002.44 300 | 12195.33 314 | 6242.00 323 | 8768.00 326 | 30896.00 321 | 4451.00 327 | 10331.00 325 | 6247.00 320 | 18296.00 324 | 283.00 253 | 21484.00 328 | 7364.00 314 | 5912.00 320 | 6334.00 318 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| ZNCC-MVS | | | 9999.00 290 | 9999.00 293 | 9999.00 307 | 9999.00 325 | 9999.00 327 | 9999.00 297 | 9999.00 330 | 9999.00 318 | 9999.00 322 | 9999.00 315 | 9999.00 323 | 9999.00 320 | 9999.00 320 | 9999.00 321 | 9999.00 319 |
|
| patch_mono-2 | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| dcpmvs_2 | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| DCPMVS | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| UA-Net | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| uncertanet | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| uanet | | | 10000.00 291 | 10000.00 294 | 10000.00 308 | 10000.00 326 | 10000.00 328 | 10000.00 298 | 10000.00 331 | 10000.00 319 | 10000.00 323 | 10000.00 316 | 10000.00 324 | 10000.00 321 | 10000.00 321 | 10000.00 322 | 10000.00 320 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 299 | 22805.00 302 | 25097.33 315 | 15500.00 332 | 19201.00 334 | 42712.00 323 | 6055.00 328 | 38388.00 329 | 16926.00 329 | 38534.00 326 | 7071.00 322 | 35653.00 329 | 29475.00 329 | 10584.00 328 | 20438.00 327 |
| 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 | | | 32606.17 300 | 34443.44 303 | 27094.33 316 | 29249.00 333 | 25246.00 335 | 51144.00 324 | 6705.00 329 | 42886.00 330 | 22888.00 330 | 48534.00 327 | 13263.00 330 | 37507.00 330 | 79298.00 330 | 16024.00 329 | 18530.00 326 |
|
| 114514_t | | | 99999.00 301 | 99999.00 304 | 99999.00 317 | 99999.00 334 | 99999.00 336 | 99999.00 325 | 99999.00 337 | 99999.00 331 | 99999.00 331 | 99999.00 328 | 99999.00 331 | 99999.00 331 | 99999.00 331 | 99999.00 330 | 99999.00 328 |
|
| PHI-MVS | | | 99999.00 301 | 99999.00 304 | 99999.00 317 | 99999.00 334 | 99999.00 336 | 99999.00 325 | 99999.00 337 | 99999.00 331 | 99999.00 331 | 99999.00 328 | 99999.00 331 | 99999.00 331 | 99999.00 331 | 99999.00 330 | 99999.00 328 |
|
| XVG-OURS-SEG-HR | | | 999999.00 305 | 999999.00 306 | 999999.00 319 | 999999.00 336 | 999999.00 338 | 999999.00 327 | 999999.00 339 | 999999.00 333 | 999999.00 333 | 999999.00 330 | 999999.00 333 | 999999.00 333 | 999999.00 333 | 999999.00 332 | 999999.00 330 |
|
| XVG-OURS | | | 999999.00 305 | 999999.00 306 | 999999.00 319 | 999999.00 336 | 999999.00 338 | 999999.00 327 | 999999.00 339 | 999999.00 333 | 999999.00 333 | 999999.00 330 | 999999.00 333 | 999999.00 333 | 999999.00 333 | 999999.00 332 | 999999.00 330 |
|
| XVG-ACMP-BASELINE | | | 999999.00 305 | 999999.00 306 | 999999.00 319 | 999999.00 336 | 999999.00 338 | 999999.00 327 | 999999.00 339 | 999999.00 333 | 999999.00 333 | 999999.00 330 | 999999.00 333 | 999999.00 333 | 999999.00 333 | 999999.00 332 | 999999.00 330 |
|
| MVSMamba_PlusPlus | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| MGCFI-Net | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| sasdasda | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| dmvs_re | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| SDMVSNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| dmvs_testset | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| sd_testset | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| balanced_conf03 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| MonoMVSNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test2506 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test1111 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| ECVR-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test_blank | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| tt0805 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Anonymous20240521 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| cl22 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| miper_ehance_all_eth | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| miper_enhance_ethall | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| cl____ | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| DIV-MVS_self_test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| eth_miper_zixun_eth | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| UniMVSNet_ETH3D | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| miper_lstm_enhance | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| D2MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test_yl | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| thisisatest0530 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Anonymous20240529 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Anonymous202405211 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| DCV-MVSNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| tttt0517 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| our_test_3 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| thisisatest0515 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| ppachtmachnet_test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| SMA-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| 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 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 10000000.00 339 | 10000000.00 341 | | | | 10000000.00 336 | | | | | | |
|
| thres100view900 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| tfpnnormal | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| tfpn200view9 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| c3_l | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| IterMVS-SCA-FT | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pmmvs6 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pmmvs5 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Anonymous20231211 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pmmvs-eth3d | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Anonymous20231206 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| SCA | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Patchmatch-test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Patchmatch-RL test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| canonicalmvs | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| anonymousdsp | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| FIs | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| FC-MVSNet-test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| sosnet-low-res | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| AllTest | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| TestCases | | | | | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| RRT-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| mamv4 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| HPM-MVS++ | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| XVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pm-mvs1 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| X-MVStestdata | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| APDe-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pmmvs4 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test-LLR | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| TESTMET0.1,1 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test-mter | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| testgi | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test20.03 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| thres600view7 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| MP-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| thres400 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test123 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| thres200 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| test0.0.03 1 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| pmmvs3 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| EMVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| E-PMN | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PGM-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| MCST-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| MVS_Test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PMMVS2 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PM-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| HQP_MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| plane_prior7 | | | | | | 10000000.00 339 | 10000000.00 341 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 339 | 10000000.00 341 | | | | | | 10000000.00 336 | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 341 | | | 10000000.00 336 | 10000000.00 336 | | | | | | |
|
| mPP-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| mvsmamba | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| HPM-MVS_fast | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| HPM-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| LGP-MVS_train | | | | | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| EPNet_dtu | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP5-MVS | | | | | | | 10000000.00 341 | | | | | | | | | | |
|
| CNVR-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| NCCC | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| CP-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| NP-MVS | | | | | | 10000000.00 339 | 10000000.00 341 | | | | | 10000000.00 333 | | | | | |
|
| CPTT-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| HQP-MVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| IS-MVSNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PAPM_NR | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PAPR | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PatchMatch-RL | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| TDRefinement | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| EPP-MVSNet | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PMMVS | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| PAPM | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| ACMMP | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
| 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 | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| wuyk23d | | | 10000000.00 308 | 10000000.00 311 | 10000000.00 322 | 10000000.00 339 | 10000000.00 341 | 10000000.00 330 | 10000000.00 342 | 10000000.00 336 | 10000000.00 336 | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| APD-MVS | | | 1000000000.00 417 | 1000000000.00 420 | 1000000000.00 433 | 1000000000.00 458 | 1000000000.00 458 | 1000000000.00 444 | 1000000000.00 458 | 1000000000.00 451 | 1000000000.00 452 | 1000000000.00 449 | 1000000000.00 454 | 1000000000.00 452 | 1000000000.00 451 | 1000000000.00 450 | 1000000000.00 448 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| PC_three_1452 | | | | | | | | | | 7619.38 313 | 2107.24 306 | 7416.93 304 | 610.24 284 | 3088.29 307 | 6075.14 307 | 1078.39 299 | 1159.26 297 |
|
| eth-test2 | | | | | | 1.42 93 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 339 | | | | | | | | | | | |
|
| test_241102_TWO | | | | | | | | | 515.86 292 | 7016.02 306 | 2363.85 310 | 6894.28 298 | 887.23 302 | 3023.43 303 | 5973.88 303 | 1620.04 311 | 1732.56 307 |
|
| 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 | |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 288 | 1363.85 280 | 4894.28 286 | 387.23 265 | 2023.43 281 | 3973.88 286 | 620.04 257 | 732.56 262 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 333 |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 336 | | | | 10000000.00 333 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 336 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 342 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 330 | | | | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | 10000000.00 336 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 333 | 10000000.00 336 | 10000000.00 336 | | | |
|
| MTMP | | | | | | | | 10000000.00 330 | 10000000.00 342 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| 新几何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 | | | | | | | | | 10000000.00 342 | | | | | 10000000.00 336 | 10000000.00 336 | 10000000.00 335 | 10000000.00 333 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 333 | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 330 | | 10000000.00 336 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 339 | | | | | | | | | | | |
|
| n2 | | | | | | | | | 14.20 167 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 95 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 95 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 88 | | | | | | | | |
|
| door | | | | | | | | | 99.00 220 | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 339 | | 10000000.00 330 | | 10000000.00 336 | 10000000.00 336 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 339 | | 10000000.00 330 | | 10000000.00 336 | 10000000.00 336 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 336 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 336 | | | 10000000.00 336 | | | 10000000.00 333 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 342 | | | | | | | 10000000.00 335 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 336 | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 335 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 335 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 306 | | | | |
|
