| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior | | | | | 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 | | |
|
| æ–°å‡ ä½•1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 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 |
|
| testdata2 | | | | | | | | | | | | | | 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 36 | 0.30 37 | 0.30 41 | 0.30 48 | 0.30 48 | 0.30 48 | 0.30 49 | 0.30 48 | 0.30 47 | 0.30 45 | 0.30 47 | 0.30 48 | 0.30 46 | 0.30 46 | 0.30 46 |
|
| hse-mvs2 | | | 0.30 36 | 0.30 37 | 0.30 41 | 0.30 48 | 0.30 48 | 0.30 48 | 0.30 49 | 0.30 48 | 0.30 47 | 0.30 45 | 0.30 47 | 0.30 48 | 0.30 46 | 0.30 46 | 0.30 46 |
|
| CL-MVSNet_self_test | | | 0.30 36 | 0.30 37 | 0.30 41 | 0.30 48 | 0.30 48 | 0.30 48 | 0.30 49 | 0.30 48 | 0.30 47 | 0.30 45 | 0.30 47 | 0.30 48 | 0.30 46 | 0.30 46 | 0.30 46 |
|
| AUN-MVS | | | 0.30 36 | 0.30 37 | 0.30 41 | 0.30 48 | 0.30 48 | 0.30 48 | 0.30 49 | 0.30 48 | 0.30 47 | 0.30 45 | 0.30 47 | 0.30 48 | 0.30 46 | 0.30 46 | 0.30 46 |
|
| LCM-MVSNet | | | 0.37 40 | 0.36 41 | 0.37 45 | 0.37 52 | 0.37 52 | 0.37 52 | 0.32 53 | 0.37 52 | 0.37 51 | 0.37 49 | 0.37 51 | 0.37 52 | 0.37 50 | 0.37 50 | 0.37 50 |
|
| v144192 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v1921920 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v1192 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v1144 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v148 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v7n | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v1240 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v8 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v10 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| v2v482 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| V42 | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| GA-MVS | | | 0.40 41 | 0.40 42 | 0.40 46 | 0.40 53 | 0.40 53 | 0.40 53 | 0.40 55 | 0.40 53 | 0.40 52 | 0.40 50 | 0.40 52 | 0.40 53 | 0.40 51 | 0.40 51 | 0.40 51 |
|
| Fast-Effi-MVS+ | | | 0.41 53 | 0.40 42 | 0.41 58 | 0.41 65 | 0.41 65 | 0.41 65 | 0.35 54 | 0.41 65 | 0.41 64 | 0.41 62 | 0.41 64 | 0.41 65 | 0.41 63 | 0.41 63 | 0.41 63 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 54 | 0.44 55 | 0.44 59 | 0.44 66 | 0.44 66 | 0.44 66 | 0.44 67 | 0.44 66 | 0.44 65 | 0.44 63 | 0.44 65 | 0.44 66 | 0.44 64 | 0.44 64 | 0.44 64 |
|
| Effi-MVS+-dtu | | | 0.59 56 | 0.61 58 | 0.53 60 | 0.68 74 | 0.53 67 | 0.53 67 | 0.68 75 | 0.68 74 | 0.53 66 | 0.53 64 | 0.68 73 | 0.53 67 | 0.68 72 | 0.53 65 | 0.53 65 |
|
| KD-MVS_self_test | | | 0.60 57 | 0.60 57 | 0.60 61 | 0.60 68 | 0.60 68 | 0.60 69 | 0.60 69 | 0.60 68 | 0.60 67 | 0.60 65 | 0.60 67 | 0.60 68 | 0.60 65 | 0.60 67 | 0.60 66 |
|
| EIA-MVS | | | 0.62 58 | 0.62 59 | 0.62 62 | 0.62 69 | 0.62 69 | 0.62 70 | 0.62 70 | 0.62 69 | 0.62 68 | 0.62 66 | 0.62 68 | 0.62 69 | 0.62 66 | 0.62 68 | 0.62 67 |
|
| ETV-MVS | | | 0.62 58 | 0.62 59 | 0.62 62 | 0.62 69 | 0.62 69 | 0.62 70 | 0.62 70 | 0.62 69 | 0.62 68 | 0.62 66 | 0.62 68 | 0.62 69 | 0.62 66 | 0.62 68 | 0.62 67 |
|
| CS-MVS | | | 0.62 58 | 0.62 59 | 0.62 62 | 0.62 69 | 0.62 69 | 0.62 70 | 0.62 70 | 0.62 69 | 0.62 68 | 0.62 66 | 0.62 68 | 0.62 69 | 0.62 66 | 0.62 68 | 0.62 67 |
|
| SPE-MVS-test | | | 0.62 58 | 0.62 59 | 0.62 62 | 0.62 69 | 0.62 69 | 0.62 70 | 0.62 70 | 0.62 69 | 0.62 68 | 0.62 66 | 0.62 68 | 0.62 69 | 0.62 66 | 0.62 68 | 0.62 67 |
|
| Effi-MVS+ | | | 0.58 55 | 0.56 56 | 0.62 62 | 0.53 67 | 0.62 69 | 0.53 67 | 0.53 68 | 0.53 67 | 0.62 68 | 0.62 66 | 0.53 66 | 0.62 69 | 0.62 66 | 0.53 65 | 0.62 67 |
|
| EC-MVSNet | | | 0.62 58 | 0.62 59 | 0.62 62 | 0.62 69 | 0.62 69 | 0.62 70 | 0.62 70 | 0.62 69 | 0.62 68 | 0.62 66 | 0.62 68 | 0.62 69 | 0.62 66 | 0.62 68 | 0.62 67 |
|
| CDS-MVSNet | | | 0.88 63 | 0.88 64 | 0.88 68 | 0.88 75 | 0.88 75 | 0.88 75 | 0.88 76 | 0.88 75 | 0.88 74 | 0.88 72 | 0.88 74 | 0.88 75 | 0.88 73 | 0.88 73 | 0.88 73 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 63 | 0.88 64 | 0.88 68 | 0.88 75 | 0.88 75 | 0.88 75 | 0.88 76 | 0.88 75 | 0.88 74 | 0.88 72 | 0.88 74 | 0.88 75 | 0.88 73 | 0.88 73 | 0.88 73 |
|
| LCM-MVSNet-Re | | | 0.89 65 | 0.89 66 | 0.89 70 | 0.89 77 | 0.89 77 | 0.89 77 | 0.89 78 | 0.89 77 | 0.89 76 | 0.89 74 | 0.89 76 | 0.89 77 | 0.89 75 | 0.89 75 | 0.89 75 |
|
| DeepMVS_CX |  | | | | 1.00 71 | 1.00 78 | 1.00 78 | | 1.00 79 | 1.00 78 | 1.00 77 | 1.00 75 | 1.00 77 | 1.00 78 | 1.00 76 | 1.00 76 | 1.00 76 |
|
| MDA-MVSNet-bldmvs | | | 1.20 66 | 1.20 67 | 1.20 72 | 1.20 79 | 1.20 80 | 1.20 78 | 1.20 81 | 1.20 79 | 1.20 78 | 1.20 76 | 1.20 78 | 1.20 79 | 1.20 77 | 1.20 77 | 1.20 77 |
|
| YYNet1 | | | 1.20 66 | 1.20 67 | 1.20 72 | 1.20 79 | 1.20 80 | 1.20 78 | 1.20 81 | 1.20 79 | 1.20 78 | 1.20 76 | 1.20 78 | 1.20 79 | 1.20 77 | 1.20 77 | 1.20 77 |
|
| MDA-MVSNet_test_wron | | | 1.20 66 | 1.20 67 | 1.20 72 | 1.20 79 | 1.20 80 | 1.20 78 | 1.20 81 | 1.20 79 | 1.20 78 | 1.20 76 | 1.20 78 | 1.20 79 | 1.20 77 | 1.20 77 | 1.20 77 |
|
| KD-MVS_2432*1600 | | | 1.30 69 | 1.30 70 | 1.30 75 | 1.30 82 | 1.30 83 | 1.30 81 | 1.30 84 | 1.30 82 | 1.30 81 | 1.30 79 | 1.30 81 | 1.30 82 | 1.30 80 | 1.30 80 | 1.30 80 |
|
| miper_refine_blended | | | 1.30 69 | 1.30 70 | 1.30 75 | 1.30 82 | 1.30 83 | 1.30 81 | 1.30 84 | 1.30 82 | 1.30 81 | 1.30 79 | 1.30 81 | 1.30 82 | 1.30 80 | 1.30 80 | 1.30 80 |
|
| EI-MVSNet-UG-set | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| EI-MVSNet-Vis-set | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| EI-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| Regformer | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| CVMVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| EU-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| PS-CasMVS | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| PEN-MVS | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| TransMVSNet (Re) | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| DTE-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| DU-MVS | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| UniMVSNet (Re) | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| CP-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| WR-MVS_H | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| WR-MVS | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| NR-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| Baseline_NR-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| MVSFormer | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| jason | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
| jason: jason. |
| lupinMVS | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| test_djsdf | | | 1.42 71 | 1.42 72 | 1.42 77 | 1.42 84 | 1.42 85 | 1.42 83 | 1.42 86 | 1.42 84 | 1.42 83 | 1.42 81 | 1.42 83 | 1.42 84 | 1.42 82 | 1.42 82 | 1.42 82 |
|
| reproduce_monomvs | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| mmtdpeth | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| reproduce_model | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| reproduce-ours | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| our_new_method | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| mmdepth | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| monomultidepth | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| mvs5depth | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| MVStest1 | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| ttmdpeth | | | 1.48 94 | 1.48 95 | 1.48 100 | 1.48 108 | 1.48 108 | 1.48 106 | 1.48 111 | 1.48 107 | 1.48 106 | 1.48 104 | 1.48 106 | 1.48 107 | 1.48 105 | 1.48 105 | 1.48 105 |
|
| alignmvs | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| nrg030 | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| LFMVS | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| VDD-MVS | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| VDDNet | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| VPNet | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| VNet | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| VPA-MVSNet | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| cascas | | | 2.00 104 | 2.00 105 | 2.00 110 | 2.00 118 | 2.00 118 | 2.00 116 | 2.00 121 | 2.00 117 | 2.00 116 | 2.00 114 | 2.00 116 | 2.00 117 | 2.00 115 | 2.00 115 | 2.00 115 |
|
| UnsupCasMVSNet_eth | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| UnsupCasMVSNet_bld | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| WTY-MVS | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| HY-MVS | | 5.90 1 | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| sss | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| Test_1112_low_res | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| 1112_ss | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| ab-mvs-re | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| ab-mvs | | | 5.90 113 | 5.90 114 | 5.90 119 | 5.90 127 | 5.90 127 | 5.90 126 | 5.90 133 | 5.90 127 | 5.90 125 | 5.90 123 | 5.90 127 | 5.90 126 | 5.90 124 | 5.90 127 | 5.90 127 |
|
| CDPH-MVS | | | 6.66 122 | 6.66 123 | 6.66 128 | 6.66 136 | 6.66 136 | 6.66 135 | 6.66 142 | 6.66 136 | 6.66 134 | 6.66 132 | 6.66 136 | 6.66 135 | 6.66 133 | 6.66 136 | 6.66 136 |
|
| dp | | | 87.20 142 | 113.80 146 | 7.42 129 | 10.50 148 | 8.88 137 | 298.82 163 | 2.70 130 | 510.35 182 | 7.79 135 | 172.93 156 | 3.37 125 | 9.16 136 | 14.00 147 | 3.71 125 | 4.23 125 |
|
| MDTV_nov1_ep13 | | | | 9.99 124 | | 9.99 137 | 9.99 138 | 9.99 136 | 9.99 144 | 9.99 137 | 9.99 136 | 9.99 133 | 9.99 138 | 9.99 137 | 9.99 134 | 9.99 138 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| xiu_mvs_v2_base | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| xiu_mvs_v1_base | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| xiu_mvs_v1_base_debi | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| cdsmvs_eth3d_5k | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| pcd_1.5k_mvsjas | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| PS-MVSNAJss | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| PS-MVSNAJ | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| jajsoiax | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| mvs_tets | | | 10.28 123 | 10.28 125 | 10.28 130 | 10.28 138 | 10.28 140 | 10.28 138 | 10.28 145 | 10.28 139 | 10.28 138 | 10.28 134 | 10.28 140 | 10.28 138 | 10.28 136 | 10.28 139 | 10.28 138 |
|
| SR-MVS-dyc-post | | | 11.55 133 | 11.55 135 | 11.55 142 | 11.55 149 | 11.55 151 | 11.55 148 | 11.55 157 | 11.55 149 | 11.55 149 | 11.55 144 | 11.55 151 | 11.55 148 | 11.55 146 | 11.55 149 | 11.55 148 |
|
| test_method | | | 18.29 135 | 20.89 137 | 10.50 140 | 15.00 150 | 13.00 152 | 55.00 155 | 3.00 131 | 34.00 152 | 11.50 148 | 32.50 146 | 5.00 126 | 13.50 149 | 27.00 150 | 5.00 126 | 5.00 126 |
|
| XXY-MVS | | | 15.00 134 | 15.00 136 | 15.00 143 | 15.00 150 | 15.00 153 | 15.00 149 | 15.00 159 | 15.00 150 | 15.00 151 | 15.00 145 | 15.00 155 | 15.00 150 | 15.00 148 | 15.00 151 | 15.00 150 |
|
| GeoE | | | 19.41 136 | 22.09 138 | 11.37 141 | 17.21 152 | 11.30 150 | 50.50 154 | 4.30 132 | 33.60 151 | 11.70 150 | 44.50 151 | 7.30 137 | 18.90 151 | 22.60 149 | 7.10 137 | 3.90 124 |
|
| GBi-Net | | | 44.67 141 | 49.24 143 | 30.96 144 | 47.53 157 | 47.57 158 | 126.09 156 | 8.00 143 | 76.99 157 | 26.09 152 | 73.50 153 | 11.27 150 | 30.55 152 | 61.12 155 | 12.58 150 | 14.75 149 |
|
| BH-w/o | | | 40.00 137 | 40.00 139 | 40.00 145 | 40.00 153 | 40.00 154 | 40.00 150 | 40.00 178 | 40.00 153 | 40.00 153 | 40.00 147 | 40.00 172 | 40.00 153 | 40.00 151 | 40.00 165 | 40.00 161 |
|
| BH-untuned | | | 40.00 137 | 40.00 139 | 40.00 145 | 40.00 153 | 40.00 154 | 40.00 150 | 40.00 178 | 40.00 153 | 40.00 153 | 40.00 147 | 40.00 172 | 40.00 153 | 40.00 151 | 40.00 165 | 40.00 161 |
|
| BH-RMVSNet | | | 40.00 137 | 40.00 139 | 40.00 145 | 40.00 153 | 40.00 154 | 40.00 150 | 40.00 178 | 40.00 153 | 40.00 153 | 40.00 147 | 40.00 172 | 40.00 153 | 40.00 151 | 40.00 165 | 40.00 161 |
|
| TR-MVS | | | 40.00 137 | 40.00 139 | 40.00 145 | 40.00 153 | 40.00 154 | 40.00 150 | 40.00 178 | 40.00 153 | 40.00 153 | 40.00 147 | 40.00 172 | 40.00 153 | 40.00 151 | 40.00 165 | 40.00 161 |
|
| new_pmnet | | | 88.14 143 | 98.62 144 | 56.70 149 | 98.14 164 | 56.07 159 | 246.79 158 | 15.37 160 | 148.06 158 | 50.77 157 | 143.13 154 | 23.35 156 | 62.65 157 | 93.26 156 | 68.71 175 | 51.38 171 |
|
| N_pmnet | | | 88.14 143 | 98.62 144 | 56.70 149 | 98.14 164 | 56.07 159 | 246.79 158 | 15.37 160 | 148.06 158 | 50.77 157 | 143.13 154 | 23.35 156 | 62.65 157 | 93.26 156 | 68.71 175 | 51.38 171 |
|
| FMVSNet5 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| test1 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| FMVSNet3 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| FMVSNet2 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| FMVSNet1 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| MIMVSNet1 | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| MIMVSNet | | | 124.76 149 | 140.93 151 | 76.26 157 | 107.44 167 | 100.17 171 | 329.88 167 | 27.12 169 | 259.44 169 | 74.30 165 | 204.34 160 | 30.74 161 | 92.41 159 | 196.98 163 | 38.15 158 | 36.19 152 |
|
| CANet | | | 110.62 145 | 124.04 147 | 70.34 152 | 82.03 161 | 74.27 164 | 325.54 164 | 25.25 163 | 207.16 160 | 69.28 162 | 194.38 157 | 27.53 158 | 95.79 166 | 147.76 160 | 37.43 155 | 40.97 165 |
|
| CANet_DTU | | | 110.62 145 | 124.04 147 | 70.34 152 | 82.03 161 | 74.27 164 | 325.54 164 | 25.25 163 | 207.16 160 | 69.28 162 | 194.38 157 | 27.53 158 | 95.79 166 | 147.76 160 | 37.43 155 | 40.97 165 |
|
| UGNet | | | 110.62 145 | 124.04 147 | 70.34 152 | 82.03 161 | 74.27 164 | 325.54 164 | 25.25 163 | 207.16 160 | 69.28 162 | 194.38 157 | 27.53 158 | 95.79 166 | 147.76 160 | 37.43 155 | 40.97 165 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| PVSNet_Blended_VisFu | | | 136.90 157 | 155.40 159 | 81.40 164 | 111.00 174 | 96.20 168 | 407.00 174 | 25.90 166 | 251.60 166 | 85.10 172 | 240.50 168 | 37.00 168 | 99.90 169 | 199.80 170 | 40.70 169 | 48.10 168 |
|
| PVSNet_BlendedMVS | | | 136.90 157 | 155.40 159 | 81.40 164 | 111.00 174 | 96.20 168 | 407.00 174 | 25.90 166 | 251.60 166 | 85.10 172 | 240.50 168 | 37.00 168 | 99.90 169 | 199.80 170 | 40.70 169 | 48.10 168 |
|
| PVSNet_Blended | | | 136.90 157 | 155.40 159 | 81.40 164 | 111.00 174 | 96.20 168 | 407.00 174 | 25.90 166 | 251.60 166 | 85.10 172 | 240.50 168 | 37.00 168 | 99.90 169 | 199.80 170 | 40.70 169 | 48.10 168 |
|
| MTAPA | | | 833442.10 291 | 1111233.77 297 | 67.09 151 | 65.59 158 | 64.81 161 | 284.50 160 | 10000000.00 329 | 219.97 163 | 59.62 159 | 229.89 167 | 12.72 152 | 103.00 172 | 203.67 173 | 27.93 152 | 33.46 151 |
|
| DSMNet-mixed | | | 131.33 156 | 143.00 158 | 96.33 167 | 99.00 166 | 81.00 167 | 201.00 157 | 45.00 183 | 335.00 176 | 99.00 175 | 251.00 171 | 38.00 171 | 110.00 173 | 120.00 159 | 99.00 181 | 98.00 177 |
|
| MP-MVS-pluss | | | 833433.63 290 | 1111219.60 296 | 75.70 155 | 74.28 159 | 73.29 162 | 284.50 160 | 11.35 155 | 238.58 164 | 65.86 160 | 255.35 172 | 14.55 153 | 115.69 174 | 10000000.00 323 | 31.94 153 | 38.12 159 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 148 | 133.18 150 | 75.70 155 | 74.28 159 | 73.29 162 | 284.50 160 | 11.35 155 | 238.58 164 | 65.86 160 | 255.35 172 | 14.55 153 | 115.69 174 | 222.18 174 | 31.94 153 | 38.12 159 |
|
| BP-MVS1 | | | 202.65 160 | 232.15 162 | 114.16 168 | 183.40 178 | 141.78 178 | 655.87 182 | 24.69 162 | 372.56 177 | 109.76 176 | 356.89 174 | 47.15 176 | 139.51 176 | 284.15 176 | 54.86 172 | 61.20 173 |
|
| FE-MVS | | | 207.10 161 | 234.26 163 | 125.61 169 | 180.34 177 | 153.23 179 | 635.64 181 | 30.05 176 | 378.38 178 | 127.68 177 | 377.08 175 | 48.95 177 | 154.43 177 | 266.67 175 | 63.56 173 | 69.18 174 |
|
| GDP-MVS | | | 219.79 162 | 249.11 164 | 131.85 170 | 187.15 179 | 155.97 180 | 667.31 183 | 30.57 177 | 398.95 179 | 131.26 178 | 387.86 176 | 58.83 179 | 164.55 178 | 315.00 177 | 65.03 174 | 75.04 175 |
|
| tmp_tt | | | 371.08 172 | 412.78 173 | 246.00 183 | 231.00 181 | 197.00 184 | 1293.00 215 | 376.00 254 | 756.00 202 | 609.00 232 | 71.00 152 | 106.00 195 | 195.00 179 | 102.00 158 | 171.00 203 | 346.00 228 |
|
| FA-MVS(test-final) | | | 261.15 163 | 293.29 165 | 164.72 171 | 236.23 182 | 199.99 185 | 800.05 189 | 42.35 182 | 475.87 181 | 155.47 179 | 470.67 178 | 58.49 178 | 205.24 180 | 319.44 178 | 81.03 178 | 88.93 176 |
|
| kuosan | | | 267.89 165 | 301.05 167 | 168.41 172 | 244.05 183 | 177.28 181 | 667.98 184 | 65.76 185 | 533.41 183 | 157.79 180 | 492.01 179 | 104.69 194 | 226.72 181 | 364.47 181 | 79.31 177 | 101.21 179 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 235 | 1886.82 239 | 481.89 213 | 847.73 242 | 830.16 247 | 7943.84 272 | 189.23 239 | 2398.83 252 | 691.73 239 | 2341.13 249 | 209.16 233 | 230.25 182 | 1999.25 255 | 360.46 235 | 385.25 233 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DP-MVS | | | 264.78 164 | 296.02 166 | 171.04 173 | 191.70 180 | 183.96 182 | 827.10 190 | 78.36 192 | 438.24 180 | 176.64 181 | 435.12 177 | 65.04 181 | 230.52 183 | 334.02 179 | 117.96 188 | 98.64 178 |
|
| SSC-MVS | | | 320.23 167 | 364.09 169 | 188.66 174 | 260.78 185 | 193.84 183 | 975.93 197 | 73.11 190 | 596.72 188 | 185.29 182 | 589.02 185 | 74.47 183 | 246.01 184 | 427.42 184 | 94.06 180 | 126.12 182 |
|
| WB-MVS | | | 316.44 166 | 357.41 168 | 193.51 175 | 257.06 184 | 213.32 187 | 914.45 191 | 49.03 184 | 600.77 189 | 186.42 183 | 634.00 190 | 75.03 184 | 251.35 185 | 411.39 182 | 88.55 179 | 115.87 181 |
|
| testing11 | | | 348.86 169 | 393.09 171 | 216.15 176 | 275.24 187 | 239.53 188 | 915.55 192 | 72.35 187 | 679.89 195 | 215.75 186 | 633.79 189 | 118.08 198 | 276.62 186 | 509.56 195 | 117.61 187 | 132.30 183 |
|
| testing91 | | | 347.05 168 | 389.92 170 | 218.43 177 | 275.92 188 | 241.43 189 | 923.71 193 | 71.70 186 | 667.65 194 | 217.04 187 | 629.00 188 | 113.33 197 | 281.39 187 | 495.50 187 | 115.45 184 | 132.47 184 |
|
| UWE-MVS | | | 387.98 173 | 438.66 176 | 235.93 178 | 349.32 196 | 257.61 193 | 1081.50 205 | 82.45 196 | 637.74 193 | 257.12 191 | 738.54 195 | 134.25 202 | 308.00 188 | 531.93 197 | 135.11 190 | 142.17 188 |
|
| WB-MVSnew | | | 404.84 176 | 458.00 178 | 245.36 182 | 374.70 199 | 320.27 201 | 1193.74 211 | 72.90 189 | 773.77 203 | 238.30 188 | 688.22 192 | 90.05 187 | 308.59 189 | 532.76 198 | 157.54 197 | 107.21 180 |
|
| dongtai | | | 360.45 170 | 401.64 172 | 236.89 180 | 303.10 190 | 262.16 195 | 963.12 194 | 72.78 188 | 622.82 192 | 199.37 184 | 708.06 193 | 130.96 201 | 310.90 190 | 506.46 194 | 108.11 182 | 137.60 187 |
|
| RPSCF | | | 394.81 175 | 445.63 177 | 242.35 181 | 276.55 189 | 253.63 191 | 1207.27 212 | 90.69 200 | 715.56 196 | 241.57 190 | 684.87 191 | 111.96 196 | 320.02 191 | 548.38 199 | 133.81 189 | 153.39 192 |
|
| testing99 | | | 408.82 177 | 462.15 179 | 248.86 184 | 322.45 193 | 269.42 196 | 1118.93 208 | 73.26 191 | 719.36 198 | 262.28 192 | 772.10 196 | 150.98 207 | 327.08 192 | 601.98 202 | 137.99 191 | 150.07 190 |
|
| testing222 | | | 430.52 179 | 487.50 183 | 259.56 186 | 379.87 203 | 282.69 197 | 1138.34 209 | 81.30 194 | 880.86 207 | 281.58 196 | 834.27 207 | 135.83 204 | 333.22 193 | 514.90 196 | 140.56 192 | 162.76 193 |
|
| ETVMVS | | | 443.50 183 | 498.07 185 | 279.78 189 | 378.05 202 | 321.57 202 | 1163.68 210 | 87.12 197 | 897.50 210 | 269.81 195 | 822.83 206 | 141.20 206 | 334.53 194 | 568.21 201 | 154.21 193 | 183.26 200 |
|
| testing3 | | | 418.10 178 | 469.06 180 | 265.23 187 | 335.69 194 | 290.63 198 | 1240.88 213 | 93.72 201 | 717.99 197 | 215.31 185 | 811.97 205 | 232.41 237 | 358.74 195 | 458.67 185 | 114.88 183 | 146.32 189 |
|
| Syy-MVS | | | 370.76 171 | 415.60 174 | 236.25 179 | 310.54 191 | 210.76 186 | 965.13 195 | 98.58 206 | 746.06 200 | 266.26 193 | 788.85 199 | 91.37 188 | 364.76 196 | 357.17 180 | 116.42 185 | 133.22 185 |
|
| myMVS_eth3d | | | 390.90 174 | 437.44 175 | 251.28 185 | 310.54 191 | 255.86 192 | 965.13 195 | 98.58 206 | 746.06 200 | 266.26 193 | 788.85 199 | 154.95 208 | 364.76 196 | 490.19 186 | 116.42 185 | 133.22 185 |
|
| DELS-MVS | | | 514.57 188 | 587.73 191 | 295.12 192 | 343.03 195 | 328.09 204 | 1540.48 220 | 116.22 214 | 988.59 211 | 325.44 205 | 906.22 209 | 119.86 200 | 365.72 198 | 788.60 216 | 161.09 200 | 191.55 203 |
| 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 |
| tpmvs | | | 501.65 187 | 567.42 189 | 304.33 193 | 395.39 206 | 356.32 206 | 1512.04 219 | 216.53 241 | 994.15 212 | 350.16 207 | 804.16 204 | 119.38 199 | 380.98 199 | 555.14 200 | 159.87 199 | 175.69 197 |
|
| EG-PatchMatch MVS | | | 437.03 180 | 493.12 184 | 268.77 188 | 264.80 186 | 260.20 194 | 1491.80 218 | 98.00 205 | 723.20 199 | 238.80 189 | 722.40 194 | 63.10 180 | 382.00 200 | 629.00 206 | 207.00 211 | 164.10 196 |
|
| DP-MVS Recon | | | 516.25 189 | 581.17 190 | 321.48 197 | 361.02 197 | 429.00 213 | 1995.36 225 | 78.48 193 | 796.20 204 | 283.32 199 | 796.02 201 | 96.78 189 | 382.98 201 | 636.72 208 | 186.66 208 | 152.46 191 |
|
| MVP-Stereo | | | 473.58 184 | 533.67 186 | 293.33 190 | 376.00 200 | 318.00 199 | 1461.00 216 | 96.00 202 | 835.00 205 | 290.00 200 | 804.00 202 | 97.00 190 | 383.00 202 | 688.00 213 | 156.00 194 | 179.00 198 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 184 | 533.67 186 | 293.33 190 | 376.00 200 | 318.00 199 | 1461.00 216 | 96.00 202 | 835.00 205 | 290.00 200 | 804.00 202 | 97.00 190 | 383.00 202 | 688.00 213 | 156.00 194 | 179.00 198 |
|
| WBMVS | | | 655.88 195 | 770.84 200 | 310.98 195 | 391.79 205 | 353.00 205 | 2280.68 227 | 99.17 209 | 1776.79 242 | 301.20 202 | 1123.23 224 | 187.34 223 | 390.28 204 | 620.39 205 | 156.98 196 | 189.66 202 |
|
| PatchmatchNet |  | | 492.52 186 | 551.22 188 | 316.40 196 | 400.20 207 | 357.90 207 | 1277.10 214 | 115.80 213 | 1034.60 219 | 315.90 203 | 874.00 208 | 155.10 209 | 402.20 205 | 629.50 207 | 158.80 198 | 189.10 201 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| UBG | | | 667.82 197 | 787.71 201 | 308.16 194 | 385.94 204 | 327.65 203 | 1718.51 221 | 117.00 215 | 1942.46 247 | 317.12 204 | 1488.73 238 | 183.89 215 | 404.82 206 | 763.70 215 | 172.02 204 | 192.01 204 |
|
| ADS-MVSNet2 | | | 443.33 181 | 482.84 181 | 324.79 198 | 434.94 211 | 387.73 209 | 1110.57 206 | 87.69 198 | 887.02 208 | 282.92 197 | 779.29 197 | 98.57 192 | 422.76 207 | 502.40 188 | 162.19 201 | 163.87 194 |
|
| ADS-MVSNet | | | 443.33 181 | 482.84 181 | 324.79 198 | 434.94 211 | 387.73 209 | 1110.57 206 | 87.69 198 | 887.02 208 | 282.92 197 | 779.29 197 | 98.57 192 | 422.76 207 | 502.40 188 | 162.19 201 | 163.87 194 |
|
| IB-MVS | | 872.44 4 | 616.41 194 | 700.96 197 | 362.78 200 | 426.10 210 | 409.25 211 | 1822.69 222 | 124.42 224 | 1186.23 222 | 366.85 209 | 1079.42 221 | 190.60 225 | 451.78 209 | 930.72 221 | 181.59 206 | 227.30 207 |
| 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 |
| IterMVS | | | 615.05 193 | 691.66 196 | 385.23 202 | 516.40 214 | 454.80 214 | 1863.80 223 | 102.10 210 | 1142.20 221 | 364.10 208 | 1093.20 223 | 135.00 203 | 480.40 210 | 826.90 217 | 181.20 205 | 220.50 206 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| GG-mvs-BLEND | | | | | 596.01 222 | 611.29 223 | 600.33 231 | 790.30 186 | 513.12 277 | | 552.71 226 | 567.40 180 | 662.54 281 | 531.67 211 | 503.93 190 | 779.80 259 | 656.02 243 |
|
| gm-plane-assit | | | | | | 611.29 223 | 600.33 231 | | | 579.21 184 | | 567.40 180 | | 531.67 211 | 503.93 190 | | |
|
| gg-mvs-nofinetune | | | 594.69 190 | 605.37 192 | 562.67 219 | 617.29 227 | 500.33 217 | 772.30 185 | 413.12 262 | 579.21 184 | 552.71 226 | 567.40 180 | 662.54 281 | 531.67 211 | 503.93 190 | 779.80 259 | 656.02 243 |
|
| CR-MVSNet | | | 612.36 192 | 617.81 195 | 596.01 222 | 611.29 223 | 600.33 231 | 790.30 186 | 513.12 277 | 579.21 184 | 552.71 226 | 567.40 180 | 662.54 281 | 531.67 211 | 503.93 190 | 779.80 259 | 656.02 243 |
|
| CSCG | | | 826.03 211 | 963.29 216 | 414.24 203 | 421.52 209 | 426.11 212 | 2230.35 226 | 179.52 237 | 1827.44 243 | 733.43 243 | 933.12 211 | 281.25 239 | 545.23 215 | 1800.35 251 | 262.64 225 | 271.38 216 |
|
| Gipuma | | | 689.75 198 | 767.00 199 | 458.00 211 | 613.00 226 | 549.00 229 | 1943.00 224 | 187.00 238 | 1230.00 223 | 518.00 223 | 1092.00 222 | 203.00 231 | 564.00 216 | 892.00 220 | 225.00 221 | 261.00 215 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| mvs_anonymous | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
|
| casdiffmvs | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
| 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 | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
| 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 | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
|
| baseline1 | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
|
| casdiffmvs_mvg | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
| 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 | | | 774.90 202 | 882.28 208 | 452.77 204 | 636.50 228 | 537.20 220 | 2348.80 230 | 120.30 216 | 1504.30 230 | 474.40 214 | 1371.10 230 | 186.90 216 | 564.70 217 | 1078.90 234 | 219.30 214 | 256.40 208 |
|
| ACMH+ | | 729.97 2 | 661.38 196 | 754.00 198 | 383.51 201 | 368.96 198 | 376.38 208 | 2483.74 239 | 82.42 195 | 1089.25 220 | 333.39 206 | 1219.68 225 | 66.53 182 | 573.60 224 | 957.86 222 | 184.14 207 | 200.56 205 |
|
| IterMVS-LS | | | 758.94 199 | 856.56 204 | 466.10 212 | 606.60 219 | 546.80 227 | 2309.90 228 | 122.20 223 | 1402.80 227 | 463.50 213 | 1348.20 227 | 192.60 226 | 574.60 225 | 1028.60 232 | 234.60 223 | 276.90 217 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| K. test v3 | | | 877.74 214 | 980.16 217 | 570.46 221 | 1316.85 260 | 813.15 246 | 2565.52 241 | 103.78 211 | 1509.49 237 | 548.33 225 | 1258.90 226 | 219.93 236 | 587.82 226 | 1102.37 241 | 196.30 209 | 310.42 223 |
|
| SR-MVS | | | 610.10 191 | 610.10 193 | 610.10 224 | 610.10 221 | 610.10 234 | 610.10 179 | 610.10 286 | 610.10 190 | 610.10 233 | 610.10 186 | 610.10 269 | 610.10 227 | 610.10 203 | 610.10 242 | 610.10 240 |
|
| RPMNet | | | 787.26 209 | 829.13 202 | 661.63 228 | 885.90 243 | 895.90 251 | 455.98 177 | 610.10 286 | 1297.17 224 | 1002.26 255 | 1001.67 219 | 655.98 279 | 611.10 228 | 667.90 210 | 885.21 271 | 477.90 237 |
|
| new-patchmatchnet | | | 766.12 200 | 859.03 205 | 487.38 215 | 595.68 216 | 536.14 219 | 2346.27 229 | 142.51 229 | 1488.08 229 | 422.43 210 | 1361.32 229 | 163.65 212 | 628.60 229 | 1003.74 231 | 207.61 212 | 297.41 221 |
|
| SixPastTwentyTwo | | | 773.62 201 | 869.37 207 | 486.35 214 | 603.45 218 | 547.15 228 | 2532.14 240 | 106.92 212 | 1434.95 228 | 428.08 211 | 1360.56 228 | 165.15 213 | 628.96 230 | 984.09 223 | 209.01 213 | 282.94 218 |
|
| PVSNet | | 1207.94 6 | 829.56 212 | 937.18 215 | 506.69 216 | 645.55 235 | 585.72 230 | 2477.98 238 | 130.52 225 | 1578.29 238 | 509.50 222 | 1460.01 237 | 194.90 227 | 637.19 231 | 1170.78 242 | 267.07 227 | 297.17 220 |
|
| MVSTER | | | 890.06 215 | 1005.91 224 | 542.52 217 | 736.13 240 | 653.90 238 | 2616.56 242 | 145.22 231 | 1692.10 241 | 555.69 229 | 1554.72 240 | 266.25 238 | 660.02 232 | 1219.66 243 | 266.84 226 | 313.64 224 |
|
| lessismore_v0 | | | | | 569.20 220 | 667.25 237 | 644.68 237 | | 96.45 204 | | 428.86 212 | 1514.17 239 | 204.21 232 | 756.58 233 | 1061.60 233 | 197.79 210 | 306.34 222 |
|
| JIA-IIPM | | | 804.30 210 | 835.64 203 | 710.26 233 | 885.90 243 | 895.90 251 | 455.98 177 | 668.73 291 | 1297.17 224 | 1002.26 255 | 1001.67 219 | 655.98 279 | 756.98 234 | 667.90 210 | 885.21 271 | 477.90 237 |
|
| test_0402 | | | 1110.00 227 | 1260.00 230 | 660.00 227 | 900.00 246 | 780.00 245 | 3300.00 244 | 210.00 240 | 2040.00 248 | 690.00 238 | 1950.00 245 | 300.00 242 | 810.00 235 | 1620.00 248 | 330.00 234 | 390.00 234 |
|
| ACMH | | 993.80 5 | 967.92 217 | 1106.11 227 | 553.33 218 | 494.00 213 | 534.00 218 | 3581.00 245 | 136.00 226 | 1585.00 239 | 478.00 221 | 1871.00 244 | 90.00 185 | 839.00 236 | 1460.00 245 | 260.00 224 | 287.00 219 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 233 | 1622.84 237 | 678.81 232 | 952.13 247 | 840.17 248 | 5358.21 256 | 170.75 236 | 2650.47 255 | 713.54 241 | 2394.28 252 | 209.42 234 | 855.56 237 | 1854.36 252 | 302.42 231 | 340.71 227 |
|
| MVS_111021_LR | | | 1136.45 228 | 1298.72 231 | 649.64 226 | 756.17 241 | 726.26 242 | 3785.94 246 | 138.15 228 | 2190.64 250 | 629.63 236 | 2064.39 247 | 165.45 214 | 874.83 238 | 1678.43 250 | 279.70 228 | 347.82 229 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 218 | 1066.82 226 | 673.70 231 | 706.94 238 | 695.69 239 | 2669.02 243 | 153.52 233 | 2108.17 249 | 605.54 231 | 1679.14 241 | 213.26 235 | 886.75 239 | 1236.76 244 | 229.01 222 | 438.67 236 |
|
| ACMP | | 1246.57 7 | 1086.24 225 | 1235.17 229 | 639.45 225 | 596.53 217 | 639.91 236 | 3904.24 248 | 152.04 232 | 1851.54 244 | 566.58 230 | 1997.95 246 | 138.50 205 | 938.30 240 | 1605.46 247 | 303.70 233 | 340.14 226 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| ACMM | | 1311.08 8 | 1165.06 229 | 1332.72 232 | 662.07 229 | 584.90 215 | 715.99 241 | 4373.59 252 | 153.99 234 | 1880.27 245 | 709.02 240 | 2316.97 248 | 188.63 224 | 939.89 241 | 1484.30 246 | 302.78 232 | 330.34 225 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| Patchmtry | | | 1090.75 226 | 1198.88 228 | 766.38 237 | 1290.90 258 | 485.90 215 | 2423.98 237 | 1267.30 309 | 1297.17 224 | 923.90 245 | 923.40 210 | 1215.54 302 | 990.23 242 | 667.90 210 | 779.80 259 | 823.02 257 |
|
| PatchT | | | 856.34 213 | 860.99 206 | 842.38 238 | 1290.90 258 | 880.90 249 | 790.30 186 | 1267.30 309 | 579.21 184 | 923.90 245 | 567.40 180 | 662.54 281 | 990.23 242 | 887.56 219 | 779.80 259 | 656.02 243 |
|
| ambc | | | | | 999.00 239 | 999.00 248 | 999.00 253 | 999.00 198 | 999.00 302 | | 999.00 248 | 999.00 212 | 999.00 294 | 999.00 244 | 999.00 224 | 999.00 278 | 999.00 275 |
|
| OurMVSNet-221017-0 | | | 999.00 219 | 999.00 218 | 999.00 239 | 999.00 248 | 999.00 253 | 999.00 198 | 999.00 302 | 999.00 213 | 999.00 248 | 999.00 212 | 999.00 294 | 999.00 244 | 999.00 224 | 999.00 278 | 999.00 275 |
|
| EPMVS | | | 999.00 219 | 999.00 218 | 999.00 239 | 999.00 248 | 999.00 253 | 999.00 198 | 999.00 302 | 999.00 213 | 999.00 248 | 999.00 212 | 999.00 294 | 999.00 244 | 999.00 224 | 999.00 278 | 999.00 275 |
|
| uanet_test | | | 1000.00 221 | 1000.00 220 | 1000.00 242 | 1000.00 251 | 1000.00 256 | 1000.00 201 | 1000.00 305 | 1000.00 215 | 1000.00 251 | 1000.00 215 | 1000.00 297 | 1000.00 247 | 1000.00 227 | 1000.00 281 | 1000.00 278 |
|
| sosnet | | | 1000.00 221 | 1000.00 220 | 1000.00 242 | 1000.00 251 | 1000.00 256 | 1000.00 201 | 1000.00 305 | 1000.00 215 | 1000.00 251 | 1000.00 215 | 1000.00 297 | 1000.00 247 | 1000.00 227 | 1000.00 281 | 1000.00 278 |
|
| USDC | | | 1000.00 221 | 1000.00 220 | 1000.00 242 | 1000.00 251 | 1000.00 256 | 1000.00 201 | 1000.00 305 | 1000.00 215 | 1000.00 251 | 1000.00 215 | 1000.00 297 | 1000.00 247 | 1000.00 227 | 1000.00 281 | 1000.00 278 |
|
| TinyColmap | | | 1000.00 221 | 1000.00 220 | 1000.00 242 | 1000.00 251 | 1000.00 256 | 1000.00 201 | 1000.00 305 | 1000.00 215 | 1000.00 251 | 1000.00 215 | 1000.00 297 | 1000.00 247 | 1000.00 227 | 1000.00 281 | 1000.00 278 |
|
| MG-MVS | | | 1256.50 231 | 1432.00 234 | 730.00 234 | 610.00 220 | 760.00 243 | 4720.00 253 | 169.00 235 | 1920.00 246 | 723.00 242 | 2510.00 254 | 201.00 229 | 1050.00 251 | 1645.00 249 | 390.00 237 | 380.00 232 |
|
| ACMMPR | | | 1296.60 232 | 1480.82 235 | 743.96 236 | 899.25 245 | 763.47 244 | 4305.47 251 | 143.90 230 | 2530.94 254 | 683.99 237 | 2346.34 250 | 201.65 230 | 1098.25 252 | 1920.59 253 | 295.21 229 | 370.16 230 |
|
| PMVS | | 863.65 3 | 957.08 216 | 1054.11 225 | 666.00 230 | 401.00 208 | 495.00 216 | 3790.00 247 | 279.00 243 | 1607.00 240 | 521.00 224 | 1745.00 242 | 90.00 185 | 1105.00 253 | 639.00 209 | 415.00 238 | 398.00 235 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| MSLP-MVS++ | | | 1242.93 230 | 1411.08 233 | 738.48 235 | 712.71 239 | 712.68 240 | 4168.17 250 | 136.50 227 | 2276.40 251 | 613.28 235 | 2368.60 251 | 161.61 211 | 1130.38 254 | 1964.54 254 | 297.88 230 | 372.39 231 |
|
| ZD-MVS | | | | | | 1584.00 263 | 1821.00 286 | | 378.00 255 | 3721.00 261 | 1231.00 262 | 1833.00 243 | 321.00 245 | 1224.00 255 | 2103.00 256 | 692.00 252 | |
|
| MVS-HIRNet | | | 2125.39 240 | 2452.68 243 | 1143.53 248 | 2938.33 303 | 1446.92 265 | 6083.19 257 | 391.74 256 | 3801.71 262 | 1202.10 261 | 3439.72 257 | 492.73 260 | 1304.35 256 | 3048.25 264 | 676.32 247 | 679.32 248 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 236 | 1869.33 238 | 1025.33 246 | 1030.00 255 | 1023.00 260 | 5311.00 255 | 359.00 252 | 3044.00 256 | 937.00 247 | 2892.00 255 | 332.00 246 | 1440.00 257 | 2312.00 257 | 607.00 241 | 613.00 242 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| OpenMVS_ROB | | 1936.51 10 | 1959.51 238 | 2224.88 242 | 1163.39 249 | 1253.91 257 | 1434.22 264 | 7065.71 262 | 272.76 242 | 2472.29 253 | 1647.54 287 | 3538.72 259 | 200.37 228 | 1496.48 258 | 2575.17 260 | 997.45 277 | 559.48 239 |
|
| F-COLMAP | | | 1878.17 237 | 2113.11 240 | 1173.33 250 | 1231.00 256 | 1174.00 261 | 6297.00 258 | 392.00 257 | 3356.00 259 | 1087.00 257 | 3082.00 256 | 361.00 250 | 1670.00 259 | 2523.00 259 | 689.00 248 | 676.00 247 |
|
| FPMVS | | | 1407.00 234 | 1495.59 236 | 1141.23 247 | 648.01 236 | 893.85 250 | 4124.00 249 | 503.81 276 | 3219.04 257 | 742.72 244 | 2498.84 253 | 157.98 210 | 1727.83 260 | 832.93 218 | 732.98 258 | 802.00 252 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 243 | 2597.03 246 | 1297.84 251 | 1701.20 265 | 1332.37 262 | 8105.11 273 | 451.45 265 | 4031.84 264 | 1099.10 258 | 3966.50 263 | 467.45 258 | 1734.05 261 | 2701.68 262 | 848.94 268 | 827.11 258 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 244 | 2643.03 247 | 1434.14 253 | 2025.55 282 | 1629.36 273 | 6542.40 259 | 412.49 259 | 4219.70 266 | 1547.02 275 | 4328.52 265 | 650.74 276 | 1798.26 262 | 3333.17 266 | 727.72 255 | 874.79 262 |
|
| CHOSEN 1792x2688 | | | 2340.81 244 | 2643.03 247 | 1434.14 253 | 2025.55 282 | 1629.36 273 | 6542.40 259 | 412.49 259 | 4219.70 266 | 1547.02 275 | 4328.52 265 | 650.74 276 | 1798.26 262 | 3333.17 266 | 727.72 255 | 874.79 262 |
|
| HyFIR lowres test | | | 2340.81 244 | 2643.03 247 | 1434.14 253 | 2025.55 282 | 1629.36 273 | 6542.40 259 | 412.49 259 | 4219.70 266 | 1547.02 275 | 4328.52 265 | 650.74 276 | 1798.26 262 | 3333.17 266 | 727.72 255 | 874.79 262 |
|
| PLC | | 2858.82 16 | 2192.92 241 | 2474.00 244 | 1349.67 252 | 1407.00 261 | 1356.00 263 | 7164.00 263 | 475.00 269 | 3970.00 263 | 1237.00 264 | 3765.00 262 | 451.00 257 | 1891.00 265 | 3006.00 263 | 791.00 264 | 802.00 252 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| AdaColmap |  | | 2570.77 249 | 2948.61 252 | 1437.24 256 | 1873.64 275 | 1526.60 267 | 7819.77 270 | 373.97 253 | 4970.45 273 | 1479.29 272 | 4648.46 270 | 525.80 263 | 1904.97 266 | 4150.42 277 | 695.69 254 | 880.14 265 |
|
| OpenMVS | | 2352.88 13 | 2263.08 242 | 2530.89 245 | 1459.67 259 | 1767.00 273 | 1591.00 269 | 7932.00 271 | 399.00 258 | 3643.00 260 | 1176.00 260 | 3569.00 260 | 297.00 241 | 1927.00 267 | 3302.00 265 | 693.00 253 | 861.00 261 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 275 | 1363.85 267 | 4894.28 273 | 387.23 252 | 2023.43 268 | 3973.88 273 | 620.04 244 | 732.56 249 |
|
| test_0728_SECOND | | | | | 1451.45 257 | 1725.60 266 | 1598.35 270 | 9203.30 279 | 315.86 246 | | | | | 2023.43 268 | 3973.88 273 | 620.04 244 | 732.56 249 |
|
| SD-MVS | | | 2654.53 250 | 3055.56 255 | 1451.45 257 | 1725.60 266 | 1598.35 270 | 9203.30 279 | 315.86 246 | 5016.02 275 | 1363.85 267 | 4894.28 273 | 387.23 252 | 2023.43 268 | 3973.88 273 | 620.04 244 | 732.56 249 |
| 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 |
| CMPMVS | | 2623.62 15 | 1983.08 239 | 2156.14 241 | 1463.89 260 | 1414.80 262 | 1517.00 266 | 5239.20 254 | 867.40 296 | 3310.30 258 | 1128.70 259 | 3489.90 258 | 366.75 251 | 2030.20 271 | 2427.60 258 | 1160.60 290 | 844.46 260 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| 3Dnovator | | 2482.06 14 | 2531.17 247 | 2839.56 250 | 1606.00 261 | 1732.00 269 | 1557.00 268 | 8375.00 275 | 483.00 270 | 4370.00 269 | 1371.00 270 | 4200.00 264 | 350.00 248 | 2207.00 272 | 3877.00 272 | 798.00 265 | 1054.00 282 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 251 | 3021.57 253 | 1618.12 262 | 2377.67 289 | 1751.39 282 | 8915.70 278 | 567.44 284 | 4569.74 271 | 1236.84 263 | 4615.63 269 | 513.23 261 | 2291.32 273 | 3515.48 269 | 882.39 270 | 811.66 254 |
|
| LF4IMVS | | | 2699.50 252 | 3049.67 254 | 1649.00 263 | 1755.00 270 | 1689.00 277 | 8330.00 274 | 464.00 267 | 4997.00 274 | 1528.00 273 | 4763.00 272 | 568.00 267 | 2296.00 274 | 4215.00 278 | 827.00 267 | 962.00 272 |
|
| tpmrst | | | 2557.50 248 | 2847.12 251 | 1688.66 264 | 1784.08 274 | 1778.25 283 | 7445.50 269 | 342.14 249 | 4471.54 270 | 1534.55 274 | 4382.10 268 | 530.10 264 | 2361.21 275 | 4142.81 276 | 991.22 276 | 926.51 267 |
|
| GST-MVS | | | 4000.00 270 | 4533.33 271 | 2400.00 281 | 2400.00 290 | 2400.00 296 | 7200.00 264 | 2400.00 313 | 7200.00 299 | 2400.00 301 | 7200.00 289 | 2400.00 307 | 2400.00 276 | 7200.00 300 | 2400.00 304 | 2400.00 303 |
|
| DVP-MVS++ | | | 3981.10 268 | 4731.32 273 | 1730.42 266 | 2191.51 285 | 1949.98 288 | 16473.90 304 | 355.33 250 | 7172.90 297 | 1622.98 285 | 7879.79 295 | 434.33 255 | 2428.11 277 | 5762.12 287 | 689.04 249 | 813.18 255 |
|
| DVP-MVS | | | 3981.10 268 | 4731.32 273 | 1730.42 266 | 2191.51 285 | 1949.98 288 | 16473.90 304 | 355.33 250 | 7172.90 297 | 1622.98 285 | 7879.79 295 | 434.33 255 | 2428.11 277 | 5762.12 287 | 689.04 249 | 813.18 255 |
| 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 |
| DeepC-MVS | | 3917.13 19 | 3155.06 257 | 3601.83 260 | 1814.72 270 | 2515.52 292 | 1941.53 287 | 10432.50 293 | 589.42 285 | 4789.45 272 | 1298.65 266 | 7677.31 294 | 578.35 268 | 2589.53 279 | 3611.78 271 | 923.52 273 | 913.10 266 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| MVS_111021_HR | | | 3742.80 266 | 4330.34 269 | 1980.20 273 | 2484.31 291 | 2259.52 295 | 14973.80 302 | 515.90 283 | 6500.13 289 | 1949.21 292 | 6146.89 281 | 535.66 265 | 2593.66 280 | 4880.76 283 | 986.37 275 | 1087.43 283 |
|
| DPM-MVS | | | 3268.00 258 | 3762.89 261 | 1783.33 268 | 1756.00 271 | 1806.00 284 | 12319.00 295 | 307.00 244 | 6319.00 286 | 1557.00 278 | 5763.00 279 | 302.00 243 | 2609.00 281 | 5061.00 284 | 482.00 239 | 935.00 269 |
|
| OPM-MVS | | | 3268.00 258 | 3762.89 261 | 1783.33 268 | 1756.00 271 | 1806.00 284 | 12319.00 295 | 307.00 244 | 6319.00 286 | 1557.00 278 | 5763.00 279 | 302.00 243 | 2609.00 281 | 5061.00 284 | 482.00 239 | 935.00 269 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| 3Dnovator+ | | 3414.41 17 | 3146.67 256 | 3537.00 259 | 1975.67 272 | 2310.00 287 | 2005.00 291 | 10100.00 291 | 626.00 289 | 5753.00 279 | 1803.00 290 | 5179.00 278 | 487.00 259 | 2622.00 283 | 4550.00 281 | 1025.00 285 | 1300.00 289 |
|
| TSAR-MVS + MP. | | | 3528.01 261 | 4065.89 268 | 1914.35 271 | 2349.10 288 | 2141.30 293 | 12362.70 297 | 417.60 263 | 6717.80 292 | 1759.40 289 | 6497.50 282 | 518.18 262 | 2629.38 284 | 5164.32 286 | 806.40 266 | 972.38 274 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| SteuartSystems-ACMMP | | | 2891.50 255 | 3284.78 258 | 1711.67 265 | 1954.00 276 | 1655.00 276 | 10117.00 292 | 445.00 264 | 5102.00 278 | 1375.00 271 | 5126.00 277 | 351.00 249 | 2638.00 285 | 4402.00 280 | 691.00 251 | 842.00 259 |
| Skip Steuart: Steuart Systems R&D Blog. |
| TAPA-MVS | | 6309.84 21 | 3374.90 260 | 3806.99 263 | 2078.63 277 | 2535.47 293 | 2499.25 302 | 8816.16 277 | 456.05 266 | 6255.60 285 | 1664.52 288 | 6704.88 284 | 629.95 274 | 2768.38 286 | 6343.93 298 | 856.35 269 | 968.25 273 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| EGC-MVSNET | | | 2819.75 253 | 3096.89 256 | 1988.33 274 | 3105.00 304 | 2241.00 294 | 9480.00 283 | 640.00 290 | 4209.00 265 | 1583.00 280 | 4740.00 271 | 547.00 266 | 2797.00 287 | 2644.00 261 | 924.00 274 | 927.00 268 |
|
| ITE_SJBPF | | | | | 2014.00 276 | 1998.00 277 | 1992.00 290 | | 701.00 292 | 5989.00 280 | 1812.00 291 | 3612.00 261 | 650.00 275 | 2852.00 288 | 4601.00 282 | 1195.00 291 | 1198.00 288 |
|
| Vis-MVSNet | | | 2877.42 254 | 3170.00 257 | 1999.67 275 | 1673.00 264 | 2042.00 292 | 8593.00 276 | 474.00 268 | 6452.00 288 | 1268.00 265 | 5125.00 276 | 339.00 247 | 3004.00 289 | 4222.00 279 | 384.00 236 | 953.00 271 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| OPU-MVS | | | | | 2451.45 286 | 2725.60 299 | 2598.35 303 | 9203.30 279 | | | | 6894.28 285 | 887.23 289 | 3023.43 290 | 5973.88 290 | 1620.04 298 | 1732.56 294 |
|
| test_241102_TWO | | | | | | | | | 515.86 279 | 7016.02 293 | 2363.85 297 | 6894.28 285 | 887.23 289 | 3023.43 290 | 5973.88 290 | 1620.04 298 | 1732.56 294 |
|
| test_241102_ONE | | | | | | 2725.60 299 | 2598.35 303 | | 515.86 279 | 7016.02 293 | 2363.85 297 | 6894.28 285 | 887.23 289 | 3023.43 290 | | | |
|
| MSP-MVS | | | 4296.20 272 | 4911.12 276 | 2451.45 286 | 2725.60 299 | 2598.35 303 | 16203.30 303 | 515.86 279 | 7016.02 293 | 2363.85 297 | 6894.28 285 | 887.23 289 | 3023.43 290 | 5973.88 290 | 1620.04 298 | 1732.56 294 |
| 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 |
| MSC_two_6792asdad | | | | | 2237.56 278 | 2643.17 294 | 2465.14 297 | | 493.26 271 | | | | | 3088.29 294 | 6075.14 294 | 1078.39 286 | 1159.26 284 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 300 | 2107.24 293 | 7416.93 291 | 610.24 271 | 3088.29 294 | 6075.14 294 | 1078.39 286 | 1159.26 284 |
|
| No_MVS | | | | | 2237.56 278 | 2643.17 294 | 2465.14 297 | | 493.26 271 | | | | | 3088.29 294 | 6075.14 294 | 1078.39 286 | 1159.26 284 |
|
| SED-MVS | | | 4062.74 271 | 4671.13 272 | 2237.56 278 | 2643.17 294 | 2465.14 297 | 13996.40 299 | 493.26 271 | 7619.38 300 | 2107.24 293 | 7416.93 291 | 610.24 271 | 3088.29 294 | 6075.14 294 | 1078.39 286 | 1159.26 284 |
|
| MAR-MVS | | | 3973.16 267 | 4387.92 270 | 2728.86 288 | 3345.27 305 | 3341.39 309 | 11403.90 294 | 798.76 294 | 6555.62 291 | 2569.29 302 | 6514.86 283 | 834.97 288 | 3237.43 298 | 5891.08 289 | 1577.54 297 | 1607.76 290 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| API-MVS | | | 4380.83 273 | 4906.56 275 | 2803.67 289 | 3844.00 306 | 3116.00 308 | 13454.00 298 | 901.00 301 | 6511.00 290 | 2794.00 303 | 7365.00 290 | 754.00 285 | 3634.00 299 | 6622.00 299 | 1914.00 303 | 1661.00 293 |
|
| OMC-MVS | | | 5022.26 274 | 5748.82 277 | 2842.58 290 | 4905.27 308 | 3101.27 307 | 14933.60 301 | 812.24 295 | 9278.40 304 | 2959.29 304 | 8800.17 301 | 1092.24 301 | 3806.30 300 | 7568.54 306 | 1389.60 296 | 1620.18 292 |
|
| tpm2 | | | 3617.85 262 | 4007.23 264 | 2449.73 282 | 2012.71 278 | 1698.05 278 | 7351.19 265 | 869.29 297 | 6132.06 281 | 1588.28 281 | 8007.42 297 | 1281.09 303 | 3888.11 301 | 7472.04 302 | 1351.00 292 | 1763.02 298 |
|
| tpm cat1 | | | 3617.85 262 | 4007.23 264 | 2449.73 282 | 2012.71 278 | 1698.05 278 | 7351.19 265 | 869.29 297 | 6132.06 281 | 1588.28 281 | 8007.42 297 | 1281.09 303 | 3888.11 301 | 7472.04 302 | 1351.00 292 | 1763.02 298 |
|
| CostFormer | | | 3617.85 262 | 4007.23 264 | 2449.73 282 | 2012.71 278 | 1698.05 278 | 7351.19 265 | 869.29 297 | 6132.06 281 | 1588.28 281 | 8007.42 297 | 1281.09 303 | 3888.11 301 | 7472.04 302 | 1351.00 292 | 1763.02 298 |
|
| tpm | | | 3617.85 262 | 4007.23 264 | 2449.73 282 | 2012.71 278 | 1698.05 278 | 7351.19 265 | 869.29 297 | 6132.06 281 | 1588.28 281 | 8007.42 297 | 1281.09 303 | 3888.11 301 | 7472.04 302 | 1351.00 292 | 1763.02 298 |
|
| CLD-MVS | | | 7338.25 275 | 8341.00 278 | 4330.00 291 | 4902.00 307 | 4991.00 310 | 23318.00 307 | 728.00 293 | 14437.00 314 | 4378.00 306 | 13379.00 309 | 824.00 287 | 5708.00 305 | 11429.00 315 | 1674.00 302 | 2291.00 302 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 276 | 8776.23 279 | 4410.16 292 | 5298.55 309 | 5631.53 311 | 34329.90 309 | 1504.57 311 | 11554.00 313 | 3896.41 305 | 15111.00 310 | 812.19 286 | 5985.63 306 | 3516.20 270 | 2963.23 305 | 1613.31 291 |
|
| ZNCC-MVS | | | 9999.00 277 | 9999.00 280 | 9999.00 294 | 9999.00 312 | 9999.00 314 | 9999.00 284 | 9999.00 317 | 9999.00 305 | 9999.00 309 | 9999.00 302 | 9999.00 310 | 9999.00 307 | 9999.00 307 | 9999.00 308 | 9999.00 306 |
|
| patch_mono-2 | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| dcpmvs_2 | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| DCPMVS | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| UA-Net | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| uncertanet | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| uanet | | | 10000.00 278 | 10000.00 281 | 10000.00 295 | 10000.00 313 | 10000.00 315 | 10000.00 285 | 10000.00 318 | 10000.00 306 | 10000.00 310 | 10000.00 303 | 10000.00 311 | 10000.00 308 | 10000.00 308 | 10000.00 309 | 10000.00 307 |
|
| CNLPA | | | 10738.67 285 | 11772.44 288 | 7637.33 293 | 9120.00 311 | 8206.00 312 | 22252.00 306 | 2010.00 312 | 24984.00 315 | 7458.00 308 | 22596.00 312 | 2940.00 308 | 10260.00 314 | 11100.00 314 | 3492.00 306 | 4446.00 304 |
|
| MVE | | 10021.00 22 | 10550.67 284 | 10002.44 287 | 12195.33 301 | 6242.00 310 | 8768.00 313 | 30896.00 308 | 4451.00 314 | 10331.00 312 | 6247.00 307 | 18296.00 311 | 283.00 240 | 21484.00 315 | 7364.00 301 | 5912.00 307 | 6334.00 305 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| LTVRE_ROB | | 20565.47 23 | 23378.08 286 | 22805.00 289 | 25097.33 302 | 15500.00 319 | 19201.00 321 | 42712.00 310 | 6055.00 315 | 38388.00 316 | 16926.00 316 | 38534.00 313 | 7071.00 309 | 35653.00 316 | 29475.00 316 | 10584.00 315 | 20438.00 314 |
| 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 | | | 32606.17 287 | 34443.44 290 | 27094.33 303 | 29249.00 320 | 25246.00 322 | 51144.00 311 | 6705.00 316 | 42886.00 317 | 22888.00 317 | 48534.00 314 | 13263.00 317 | 37507.00 317 | 79298.00 317 | 16024.00 316 | 18530.00 313 |
|
| 114514_t | | | 99999.00 288 | 99999.00 291 | 99999.00 304 | 99999.00 321 | 99999.00 323 | 99999.00 312 | 99999.00 324 | 99999.00 318 | 99999.00 318 | 99999.00 315 | 99999.00 318 | 99999.00 318 | 99999.00 318 | 99999.00 317 | 99999.00 315 |
|
| PHI-MVS | | | 99999.00 288 | 99999.00 291 | 99999.00 304 | 99999.00 321 | 99999.00 323 | 99999.00 312 | 99999.00 324 | 99999.00 318 | 99999.00 318 | 99999.00 315 | 99999.00 318 | 99999.00 318 | 99999.00 318 | 99999.00 317 | 99999.00 315 |
|
| XVG-OURS-SEG-HR | | | 999999.00 292 | 999999.00 293 | 999999.00 306 | 999999.00 323 | 999999.00 325 | 999999.00 314 | 999999.00 326 | 999999.00 320 | 999999.00 320 | 999999.00 317 | 999999.00 320 | 999999.00 320 | 999999.00 320 | 999999.00 319 | 999999.00 317 |
|
| XVG-OURS | | | 999999.00 292 | 999999.00 293 | 999999.00 306 | 999999.00 323 | 999999.00 325 | 999999.00 314 | 999999.00 326 | 999999.00 320 | 999999.00 320 | 999999.00 317 | 999999.00 320 | 999999.00 320 | 999999.00 320 | 999999.00 319 | 999999.00 317 |
|
| XVG-ACMP-BASELINE | | | 999999.00 292 | 999999.00 293 | 999999.00 306 | 999999.00 323 | 999999.00 325 | 999999.00 314 | 999999.00 326 | 999999.00 320 | 999999.00 320 | 999999.00 317 | 999999.00 320 | 999999.00 320 | 999999.00 320 | 999999.00 319 | 999999.00 317 |
|
| MVSMamba_PlusPlus | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| MGCFI-Net | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| sasdasda | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| dmvs_re | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| SDMVSNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| dmvs_testset | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| sd_testset | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| balanced_conf03 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| MonoMVSNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test2506 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test1111 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| ECVR-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test_blank | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| tt0805 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Anonymous20240521 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| cl22 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| miper_ehance_all_eth | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| miper_enhance_ethall | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| cl____ | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| DIV-MVS_self_test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| eth_miper_zixun_eth | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| UniMVSNet_ETH3D | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| miper_lstm_enhance | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| D2MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test_yl | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| thisisatest0530 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Anonymous20240529 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Anonymous202405211 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| DCV-MVSNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| tttt0517 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| our_test_3 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| thisisatest0515 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| ppachtmachnet_test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| SMA-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| 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 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| tfpnnormal | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| tfpn200view9 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| c3_l | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| IterMVS-SCA-FT | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pmmvs6 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pmmvs5 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test_post1 | | | | | | | | 10000000.00 317 | | | | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | | | |
|
| Anonymous20231211 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pmmvs-eth3d | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Anonymous20231206 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| SCA | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Patchmatch-test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Patchmatch-RL test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| canonicalmvs | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| anonymousdsp | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| FIs | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| FC-MVSNet-test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| sosnet-low-res | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| AllTest | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| TestCases | | | | | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| RRT-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| mamv4 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| HPM-MVS++ | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| XVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pm-mvs1 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| X-MVStestdata | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| APDe-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pmmvs4 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test-LLR | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| TESTMET0.1,1 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test-mter | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| testgi | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test20.03 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| thres600view7 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| MP-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| thres400 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test123 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| thres200 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| test0.0.03 1 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| pmmvs3 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| EMVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| E-PMN | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PGM-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| MCST-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| MVS_Test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PMMVS2 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PM-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| HQP_MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| plane_prior5 | | | | | | | | | 10000000.00 329 | | | | | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| mPP-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| mvsmamba | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| HPM-MVS_fast | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| HPM-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| LGP-MVS_train | | | | | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| EPNet_dtu | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP4-MVS | | | | | | | | | | | 10000000.00 323 | | | 10000000.00 323 | | | 10000000.00 320 |
|
| CNVR-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| NCCC | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| CP-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| CPTT-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| HQP-MVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| IS-MVSNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PAPM_NR | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PAPR | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PatchMatch-RL | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| TDRefinement | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| EPP-MVSNet | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PMMVS | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| PAPM | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| ACMMP | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
| 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 | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| wuyk23d | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 309 | 10000000.00 326 | 10000000.00 328 | 10000000.00 317 | 10000000.00 329 | 10000000.00 323 | 10000000.00 323 | 10000000.00 320 | 10000000.00 323 | 10000000.00 323 | 10000000.00 323 | 10000000.00 322 | 10000000.00 320 |
|
| APD-MVS | | | 1000000000.00 404 | 1000000000.00 407 | 1000000000.00 420 | 1000000000.00 445 | 1000000000.00 445 | 1000000000.00 431 | 1000000000.00 445 | 1000000000.00 438 | 1000000000.00 439 | 1000000000.00 436 | 1000000000.00 441 | 1000000000.00 439 | 1000000000.00 438 | 1000000000.00 437 | 1000000000.00 435 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 190 | | | | | | | | 422.23 183 | | |
|
| FOURS1 | | | | | | 2643.17 294 | 2465.14 297 | 13996.40 299 | 493.26 271 | 7619.38 300 | 2107.24 293 | | | | | | |
|
| test_one_0601 | | | | | | 2643.17 294 | 2465.14 297 | | 493.26 271 | 7619.38 300 | 2107.24 293 | 7416.93 291 | 610.24 271 | | | | |
|
| eth-test2 | | | | | | 1.42 84 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 326 | | | | | | | | | | | |
|
| RE-MVS-def | | | | 610.10 193 | | 610.10 221 | 610.10 234 | 610.10 179 | 610.10 286 | 610.10 190 | 610.10 233 | 610.10 186 | 610.10 269 | | 610.10 203 | 610.10 242 | 610.10 240 |
|
| IU-MVS | | | | | | 2725.60 299 | 2598.35 303 | | 515.86 279 | 7016.02 293 | 2363.85 297 | | | | 5973.88 290 | 1620.04 298 | 1732.56 294 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test0726 | | | | | | 1725.60 266 | 1598.35 270 | 9203.30 279 | 315.86 246 | 5016.02 275 | 1363.85 267 | 4894.28 273 | 387.23 252 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 320 |
|
| test_part2 | | | | | | 10000000.00 326 | 10000000.00 328 | | | | 10000000.00 323 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 323 | | | | 10000000.00 320 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 323 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 329 | | | | | | | | |
|
| MTMP | | | | | | | | 10000000.00 317 | 10000000.00 329 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| æ–°å‡ ä½•2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 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 |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 326 | 10000000.00 328 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 326 | 10000000.00 328 | | | | | | 10000000.00 323 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 320 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 328 | | | 10000000.00 323 | 10000000.00 323 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 317 | | 10000000.00 323 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 326 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 78 | 2.00 116 | | 2.00 117 | | | | | | 2.00 115 | |
|
| n2 | | | | | | | | | 14.20 158 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 86 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 86 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 79 | | | | | | | | |
|
| door | | | | | | | | | 99.00 208 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 328 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 326 | | 10000000.00 317 | | 10000000.00 323 | 10000000.00 323 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 326 | | 10000000.00 317 | | 10000000.00 323 | 10000000.00 323 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 323 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 329 | | | | | | | 10000000.00 322 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 323 | | | | |
|
| NP-MVS | | | | | | 10000000.00 326 | 10000000.00 328 | | | | | 10000000.00 320 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 138 | 9.99 136 | | 9.99 137 | 9.99 136 | | 9.99 138 | | 9.99 134 | | 9.99 137 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 322 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 322 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 293 | | | | |
|
