| fmvsm_l_conf0.5_n_9 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmambaseed2359dif | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmanbaseed2359cas | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_9 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_8 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_7 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 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 |
|
| 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 |
|
| 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 |
|
| 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 |
|
| 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 49 | 0.30 50 | 0.30 54 | 0.30 61 | 0.30 61 | 0.30 61 | 0.30 62 | 0.30 61 | 0.30 60 | 0.30 58 | 0.30 60 | 0.30 61 | 0.30 59 | 0.30 59 | 0.30 59 |
|
| hse-mvs2 | | | 0.30 49 | 0.30 50 | 0.30 54 | 0.30 61 | 0.30 61 | 0.30 61 | 0.30 62 | 0.30 61 | 0.30 60 | 0.30 58 | 0.30 60 | 0.30 61 | 0.30 59 | 0.30 59 | 0.30 59 |
|
| CL-MVSNet_self_test | | | 0.30 49 | 0.30 50 | 0.30 54 | 0.30 61 | 0.30 61 | 0.30 61 | 0.30 62 | 0.30 61 | 0.30 60 | 0.30 58 | 0.30 60 | 0.30 61 | 0.30 59 | 0.30 59 | 0.30 59 |
|
| AUN-MVS | | | 0.30 49 | 0.30 50 | 0.30 54 | 0.30 61 | 0.30 61 | 0.30 61 | 0.30 62 | 0.30 61 | 0.30 60 | 0.30 58 | 0.30 60 | 0.30 61 | 0.30 59 | 0.30 59 | 0.30 59 |
|
| LCM-MVSNet | | | 0.37 53 | 0.36 54 | 0.37 58 | 0.37 65 | 0.37 65 | 0.37 65 | 0.32 66 | 0.37 65 | 0.37 64 | 0.37 62 | 0.37 64 | 0.37 65 | 0.37 63 | 0.37 63 | 0.37 63 |
|
| v144192 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v1921920 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v1192 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v1144 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v148 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v7n | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v1240 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v8 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v10 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| v2v482 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| V42 | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| GA-MVS | | | 0.40 54 | 0.40 55 | 0.40 59 | 0.40 66 | 0.40 66 | 0.40 66 | 0.40 68 | 0.40 66 | 0.40 65 | 0.40 63 | 0.40 65 | 0.40 66 | 0.40 64 | 0.40 64 | 0.40 64 |
|
| Fast-Effi-MVS+ | | | 0.41 66 | 0.40 55 | 0.41 71 | 0.41 78 | 0.41 78 | 0.41 78 | 0.35 67 | 0.41 78 | 0.41 77 | 0.41 75 | 0.41 77 | 0.41 78 | 0.41 76 | 0.41 76 | 0.41 76 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 67 | 0.44 68 | 0.44 72 | 0.44 79 | 0.44 79 | 0.44 79 | 0.44 80 | 0.44 79 | 0.44 78 | 0.44 76 | 0.44 78 | 0.44 79 | 0.44 77 | 0.44 77 | 0.44 77 |
|
| Effi-MVS+ | | | 0.58 68 | 0.56 69 | 0.62 75 | 0.53 80 | 0.62 82 | 0.53 80 | 0.53 81 | 0.53 80 | 0.62 81 | 0.62 79 | 0.53 79 | 0.62 82 | 0.62 79 | 0.53 78 | 0.62 80 |
|
| Effi-MVS+-dtu | | | 0.59 69 | 0.61 71 | 0.53 73 | 0.68 87 | 0.53 80 | 0.53 80 | 0.68 88 | 0.68 87 | 0.53 79 | 0.53 77 | 0.68 86 | 0.53 80 | 0.68 85 | 0.53 78 | 0.53 78 |
|
| KD-MVS_self_test | | | 0.60 70 | 0.60 70 | 0.60 74 | 0.60 81 | 0.60 81 | 0.60 82 | 0.60 82 | 0.60 81 | 0.60 80 | 0.60 78 | 0.60 80 | 0.60 81 | 0.60 78 | 0.60 80 | 0.60 79 |
|
| EIA-MVS | | | 0.62 71 | 0.62 72 | 0.62 75 | 0.62 82 | 0.62 82 | 0.62 83 | 0.62 83 | 0.62 82 | 0.62 81 | 0.62 79 | 0.62 81 | 0.62 82 | 0.62 79 | 0.62 81 | 0.62 80 |
|
| ETV-MVS | | | 0.62 71 | 0.62 72 | 0.62 75 | 0.62 82 | 0.62 82 | 0.62 83 | 0.62 83 | 0.62 82 | 0.62 81 | 0.62 79 | 0.62 81 | 0.62 82 | 0.62 79 | 0.62 81 | 0.62 80 |
|
| CS-MVS | | | 0.62 71 | 0.62 72 | 0.62 75 | 0.62 82 | 0.62 82 | 0.62 83 | 0.62 83 | 0.62 82 | 0.62 81 | 0.62 79 | 0.62 81 | 0.62 82 | 0.62 79 | 0.62 81 | 0.62 80 |
|
| SPE-MVS-test | | | 0.62 71 | 0.62 72 | 0.62 75 | 0.62 82 | 0.62 82 | 0.62 83 | 0.62 83 | 0.62 82 | 0.62 81 | 0.62 79 | 0.62 81 | 0.62 82 | 0.62 79 | 0.62 81 | 0.62 80 |
|
| EC-MVSNet | | | 0.62 71 | 0.62 72 | 0.62 75 | 0.62 82 | 0.62 82 | 0.62 83 | 0.62 83 | 0.62 82 | 0.62 81 | 0.62 79 | 0.62 81 | 0.62 82 | 0.62 79 | 0.62 81 | 0.62 80 |
|
| CDS-MVSNet | | | 0.88 76 | 0.88 77 | 0.88 81 | 0.88 88 | 0.88 88 | 0.88 88 | 0.88 89 | 0.88 88 | 0.88 87 | 0.88 85 | 0.88 87 | 0.88 88 | 0.88 86 | 0.88 86 | 0.88 86 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 76 | 0.88 77 | 0.88 81 | 0.88 88 | 0.88 88 | 0.88 88 | 0.88 89 | 0.88 88 | 0.88 87 | 0.88 85 | 0.88 87 | 0.88 88 | 0.88 86 | 0.88 86 | 0.88 86 |
|
| LCM-MVSNet-Re | | | 0.89 78 | 0.89 79 | 0.89 83 | 0.89 90 | 0.89 90 | 0.89 90 | 0.89 91 | 0.89 90 | 0.89 89 | 0.89 87 | 0.89 89 | 0.89 90 | 0.89 88 | 0.89 88 | 0.89 88 |
|
| MDA-MVSNet-bldmvs | | | 1.20 79 | 1.20 80 | 1.20 85 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 94 | 1.20 92 | 1.20 91 | 1.20 89 | 1.20 91 | 1.20 92 | 1.20 90 | 1.20 90 | 1.20 90 |
|
| YYNet1 | | | 1.20 79 | 1.20 80 | 1.20 85 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 94 | 1.20 92 | 1.20 91 | 1.20 89 | 1.20 91 | 1.20 92 | 1.20 90 | 1.20 90 | 1.20 90 |
|
| MDA-MVSNet_test_wron | | | 1.20 79 | 1.20 80 | 1.20 85 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 94 | 1.20 92 | 1.20 91 | 1.20 89 | 1.20 91 | 1.20 92 | 1.20 90 | 1.20 90 | 1.20 90 |
|
| KD-MVS_2432*1600 | | | 1.30 82 | 1.30 83 | 1.30 88 | 1.30 95 | 1.30 96 | 1.30 94 | 1.30 97 | 1.30 95 | 1.30 94 | 1.30 92 | 1.30 94 | 1.30 95 | 1.30 93 | 1.30 93 | 1.30 93 |
|
| miper_refine_blended | | | 1.30 82 | 1.30 83 | 1.30 88 | 1.30 95 | 1.30 96 | 1.30 94 | 1.30 97 | 1.30 95 | 1.30 94 | 1.30 92 | 1.30 94 | 1.30 95 | 1.30 93 | 1.30 93 | 1.30 93 |
|
| EI-MVSNet-UG-set | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| EI-MVSNet-Vis-set | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| EI-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| Regformer | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| CVMVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| EU-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| PS-CasMVS | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| PEN-MVS | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| TransMVSNet (Re) | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| DTE-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| DU-MVS | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| UniMVSNet (Re) | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| CP-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| WR-MVS_H | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| WR-MVS | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| NR-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| Baseline_NR-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| MVSFormer | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| jason | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
| jason: jason. |
| lupinMVS | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| test_djsdf | | | 1.42 84 | 1.42 85 | 1.42 90 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 99 | 1.42 97 | 1.42 96 | 1.42 94 | 1.42 96 | 1.42 97 | 1.42 95 | 1.42 95 | 1.42 95 |
|
| reproduce_monomvs | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| mmtdpeth | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| reproduce_model | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| reproduce-ours | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| our_new_method | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| mmdepth | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| monomultidepth | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| mvs5depth | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| MVStest1 | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| ttmdpeth | | | 1.48 107 | 1.48 108 | 1.48 113 | 1.48 121 | 1.48 121 | 1.48 119 | 1.48 124 | 1.48 120 | 1.48 119 | 1.48 117 | 1.48 119 | 1.48 120 | 1.48 118 | 1.48 118 | 1.48 118 |
|
| alignmvs | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| nrg030 | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| LFMVS | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| VDD-MVS | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| VDDNet | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| VPNet | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| VNet | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| VPA-MVSNet | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| cascas | | | 2.00 117 | 2.00 118 | 2.00 123 | 2.00 131 | 2.00 131 | 2.00 129 | 2.00 134 | 2.00 130 | 2.00 129 | 2.00 127 | 2.00 129 | 2.00 130 | 2.00 128 | 2.00 128 | 2.00 128 |
|
| UnsupCasMVSNet_eth | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| UnsupCasMVSNet_bld | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| WTY-MVS | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| HY-MVS | | 5.90 1 | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| sss | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| Test_1112_low_res | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| 1112_ss | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| ab-mvs-re | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| ab-mvs | | | 5.90 126 | 5.90 127 | 5.90 132 | 5.90 140 | 5.90 140 | 5.90 139 | 5.90 146 | 5.90 140 | 5.90 138 | 5.90 136 | 5.90 140 | 5.90 139 | 5.90 137 | 5.90 140 | 5.90 140 |
|
| CDPH-MVS | | | 6.66 135 | 6.66 136 | 6.66 141 | 6.66 149 | 6.66 149 | 6.66 148 | 6.66 155 | 6.66 149 | 6.66 147 | 6.66 145 | 6.66 149 | 6.66 148 | 6.66 146 | 6.66 149 | 6.66 149 |
|
| xiu_mvs_v1_base_debu | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| xiu_mvs_v2_base | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| xiu_mvs_v1_base | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| xiu_mvs_v1_base_debi | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| cdsmvs_eth3d_5k | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| pcd_1.5k_mvsjas | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| PS-MVSNAJss | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| PS-MVSNAJ | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| jajsoiax | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| mvs_tets | | | 10.28 136 | 10.28 138 | 10.28 143 | 10.28 151 | 10.28 153 | 10.28 151 | 10.28 158 | 10.28 152 | 10.28 151 | 10.28 147 | 10.28 153 | 10.28 151 | 10.28 149 | 10.28 152 | 10.28 151 |
|
| SR-MVS-dyc-post | | | 11.55 146 | 11.55 148 | 11.55 155 | 11.55 162 | 11.55 164 | 11.55 161 | 11.55 170 | 11.55 162 | 11.55 162 | 11.55 157 | 11.55 164 | 11.55 161 | 11.55 159 | 11.55 162 | 11.55 161 |
|
| XXY-MVS | | | 15.00 147 | 15.00 149 | 15.00 156 | 15.00 163 | 15.00 166 | 15.00 162 | 15.00 172 | 15.00 163 | 15.00 164 | 15.00 158 | 15.00 168 | 15.00 163 | 15.00 161 | 15.00 164 | 15.00 163 |
|
| test_method | | | 18.29 148 | 20.89 150 | 10.50 153 | 15.00 163 | 13.00 165 | 55.00 168 | 3.00 144 | 34.00 165 | 11.50 161 | 32.50 159 | 5.00 139 | 13.50 162 | 27.00 163 | 5.00 139 | 5.00 139 |
|
| GeoE | | | 19.41 149 | 22.09 151 | 11.37 154 | 17.21 165 | 11.30 163 | 50.50 167 | 4.30 145 | 33.60 164 | 11.70 163 | 44.50 164 | 7.30 150 | 18.90 164 | 22.60 162 | 7.10 150 | 3.90 137 |
|
| BH-w/o | | | 40.00 150 | 40.00 152 | 40.00 158 | 40.00 166 | 40.00 167 | 40.00 163 | 40.00 191 | 40.00 166 | 40.00 166 | 40.00 160 | 40.00 185 | 40.00 166 | 40.00 164 | 40.00 178 | 40.00 174 |
|
| BH-untuned | | | 40.00 150 | 40.00 152 | 40.00 158 | 40.00 166 | 40.00 167 | 40.00 163 | 40.00 191 | 40.00 166 | 40.00 166 | 40.00 160 | 40.00 185 | 40.00 166 | 40.00 164 | 40.00 178 | 40.00 174 |
|
| BH-RMVSNet | | | 40.00 150 | 40.00 152 | 40.00 158 | 40.00 166 | 40.00 167 | 40.00 163 | 40.00 191 | 40.00 166 | 40.00 166 | 40.00 160 | 40.00 185 | 40.00 166 | 40.00 164 | 40.00 178 | 40.00 174 |
|
| TR-MVS | | | 40.00 150 | 40.00 152 | 40.00 158 | 40.00 166 | 40.00 167 | 40.00 163 | 40.00 191 | 40.00 166 | 40.00 166 | 40.00 160 | 40.00 185 | 40.00 166 | 40.00 164 | 40.00 178 | 40.00 174 |
|
| GBi-Net | | | 44.67 154 | 49.24 156 | 30.96 157 | 47.53 170 | 47.57 171 | 126.09 169 | 8.00 156 | 76.99 170 | 26.09 165 | 73.50 166 | 11.27 163 | 30.55 165 | 61.12 168 | 12.58 163 | 14.75 162 |
|
| dp | | | 87.20 155 | 113.80 159 | 7.42 142 | 10.50 161 | 8.88 150 | 298.82 176 | 2.70 143 | 510.35 195 | 7.79 148 | 172.93 169 | 3.37 138 | 9.16 149 | 14.00 160 | 3.71 138 | 4.23 138 |
|
| new_pmnet | | | 88.14 156 | 98.62 157 | 56.70 162 | 98.14 177 | 56.07 172 | 246.79 171 | 15.37 173 | 148.06 171 | 50.77 170 | 143.13 167 | 23.35 169 | 62.65 170 | 93.26 169 | 68.71 188 | 51.38 184 |
|
| N_pmnet | | | 88.14 156 | 98.62 157 | 56.70 162 | 98.14 177 | 56.07 172 | 246.79 171 | 15.37 173 | 148.06 171 | 50.77 170 | 143.13 167 | 23.35 169 | 62.65 170 | 93.26 169 | 68.71 188 | 51.38 184 |
|
| CANet | | | 110.62 158 | 124.04 160 | 70.34 165 | 82.03 174 | 74.27 177 | 325.54 177 | 25.25 176 | 207.16 173 | 69.28 175 | 194.38 170 | 27.53 171 | 95.79 179 | 147.76 173 | 37.43 168 | 40.97 178 |
|
| CANet_DTU | | | 110.62 158 | 124.04 160 | 70.34 165 | 82.03 174 | 74.27 177 | 325.54 177 | 25.25 176 | 207.16 173 | 69.28 175 | 194.38 170 | 27.53 171 | 95.79 179 | 147.76 173 | 37.43 168 | 40.97 178 |
|
| UGNet | | | 110.62 158 | 124.04 160 | 70.34 165 | 82.03 174 | 74.27 177 | 325.54 177 | 25.25 176 | 207.16 173 | 69.28 175 | 194.38 170 | 27.53 171 | 95.79 179 | 147.76 173 | 37.43 168 | 40.97 178 |
| 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 |
| ACMMP_NAP | | | 118.81 161 | 133.18 163 | 75.70 168 | 74.28 172 | 73.29 175 | 284.50 173 | 11.35 168 | 238.58 177 | 65.86 173 | 255.35 185 | 14.55 166 | 115.69 187 | 222.18 187 | 31.94 166 | 38.12 172 |
|
| FMVSNet5 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| test1 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| FMVSNet3 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| FMVSNet2 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| FMVSNet1 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| MIMVSNet1 | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| MIMVSNet | | | 124.76 162 | 140.93 164 | 76.26 170 | 107.44 180 | 100.17 184 | 329.88 180 | 27.12 182 | 259.44 182 | 74.30 178 | 204.34 173 | 30.74 174 | 92.41 172 | 196.98 176 | 38.15 171 | 36.19 165 |
|
| DSMNet-mixed | | | 131.33 169 | 143.00 171 | 96.33 180 | 99.00 179 | 81.00 180 | 201.00 170 | 45.00 196 | 335.00 189 | 99.00 188 | 251.00 184 | 38.00 184 | 110.00 186 | 120.00 172 | 99.00 194 | 98.00 190 |
|
| PVSNet_Blended_VisFu | | | 136.90 170 | 155.40 172 | 81.40 177 | 111.00 187 | 96.20 181 | 407.00 187 | 25.90 179 | 251.60 179 | 85.10 185 | 240.50 181 | 37.00 181 | 99.90 182 | 199.80 183 | 40.70 182 | 48.10 181 |
|
| PVSNet_BlendedMVS | | | 136.90 170 | 155.40 172 | 81.40 177 | 111.00 187 | 96.20 181 | 407.00 187 | 25.90 179 | 251.60 179 | 85.10 185 | 240.50 181 | 37.00 181 | 99.90 182 | 199.80 183 | 40.70 182 | 48.10 181 |
|
| PVSNet_Blended | | | 136.90 170 | 155.40 172 | 81.40 177 | 111.00 187 | 96.20 181 | 407.00 187 | 25.90 179 | 251.60 179 | 85.10 185 | 240.50 181 | 37.00 181 | 99.90 182 | 199.80 183 | 40.70 182 | 48.10 181 |
|
| BP-MVS1 | | | 202.65 173 | 232.15 175 | 114.16 181 | 183.40 191 | 141.78 191 | 655.87 195 | 24.69 175 | 372.56 190 | 109.76 189 | 356.89 187 | 47.15 189 | 139.51 189 | 284.15 189 | 54.86 185 | 61.20 186 |
|
| FE-MVS | | | 207.10 174 | 234.26 176 | 125.61 182 | 180.34 190 | 153.23 192 | 635.64 194 | 30.05 189 | 378.38 191 | 127.68 190 | 377.08 188 | 48.95 190 | 154.43 190 | 266.67 188 | 63.56 186 | 69.18 187 |
|
| GDP-MVS | | | 219.79 175 | 249.11 177 | 131.85 183 | 187.15 192 | 155.97 193 | 667.31 196 | 30.57 190 | 398.95 192 | 131.26 191 | 387.86 189 | 58.83 192 | 164.55 191 | 315.00 190 | 65.03 187 | 75.04 188 |
|
| FA-MVS(test-final) | | | 261.15 176 | 293.29 178 | 164.72 184 | 236.23 195 | 199.99 198 | 800.05 202 | 42.35 195 | 475.87 194 | 155.47 192 | 470.67 191 | 58.49 191 | 205.24 193 | 319.44 191 | 81.03 191 | 88.93 189 |
|
| DP-MVS | | | 264.78 177 | 296.02 179 | 171.04 186 | 191.70 193 | 183.96 195 | 827.10 203 | 78.36 207 | 438.24 193 | 176.64 194 | 435.12 190 | 65.04 194 | 230.52 196 | 334.02 192 | 117.96 202 | 98.64 191 |
|
| kuosan | | | 267.89 178 | 301.05 180 | 168.41 185 | 244.05 196 | 177.28 194 | 667.98 197 | 65.76 198 | 533.41 196 | 157.79 193 | 492.01 192 | 104.69 207 | 226.72 194 | 364.47 194 | 79.31 190 | 101.21 192 |
|
| WB-MVS | | | 316.44 179 | 357.41 181 | 193.51 188 | 257.06 197 | 213.32 201 | 914.45 205 | 49.03 197 | 600.77 202 | 186.42 196 | 634.00 204 | 75.03 197 | 251.35 198 | 411.39 195 | 88.55 192 | 115.87 194 |
|
| SSC-MVS | | | 320.23 180 | 364.09 182 | 188.66 187 | 260.78 198 | 193.84 196 | 975.93 211 | 73.11 203 | 596.72 201 | 185.29 195 | 589.02 198 | 74.47 196 | 246.01 197 | 427.42 198 | 94.06 193 | 126.12 195 |
|
| UWE-MVS-28 | | | 327.73 181 | 369.67 183 | 201.90 189 | 281.09 204 | 210.75 199 | 832.98 204 | 74.67 206 | 680.98 209 | 198.23 197 | 613.42 201 | 112.56 210 | 259.80 199 | 418.76 196 | 114.35 196 | 135.15 201 |
|
| testing91 | | | 347.05 182 | 389.92 184 | 218.43 191 | 275.92 202 | 241.43 203 | 923.71 207 | 71.70 199 | 667.65 207 | 217.04 201 | 629.00 202 | 113.33 211 | 281.39 201 | 495.50 201 | 115.45 198 | 132.47 198 |
|
| testing11 | | | 348.86 183 | 393.09 185 | 216.15 190 | 275.24 201 | 239.53 202 | 915.55 206 | 72.35 200 | 679.89 208 | 215.75 200 | 633.79 203 | 118.08 212 | 276.62 200 | 509.56 209 | 117.61 201 | 132.30 197 |
|
| dongtai | | | 360.45 184 | 401.64 186 | 236.89 194 | 303.10 205 | 262.16 209 | 963.12 208 | 72.78 201 | 622.82 205 | 199.37 198 | 708.06 207 | 130.96 215 | 310.90 204 | 506.46 208 | 108.11 195 | 137.60 202 |
|
| Syy-MVS | | | 370.76 185 | 415.60 188 | 236.25 193 | 310.54 206 | 210.76 200 | 965.13 209 | 98.58 222 | 746.06 214 | 266.26 208 | 788.85 214 | 91.37 201 | 364.76 212 | 357.17 193 | 116.42 199 | 133.22 199 |
|
| tmp_tt | | | 371.08 186 | 412.78 187 | 246.00 197 | 231.00 194 | 197.00 197 | 1293.00 230 | 376.00 271 | 756.00 216 | 609.00 249 | 71.00 165 | 106.00 208 | 195.00 192 | 102.00 171 | 171.00 219 | 346.00 245 |
|
| UWE-MVS | | | 387.98 187 | 438.66 190 | 235.93 192 | 349.32 211 | 257.61 207 | 1081.50 219 | 82.45 211 | 637.74 206 | 257.12 205 | 738.54 209 | 134.25 216 | 308.00 202 | 531.93 211 | 135.11 205 | 142.17 203 |
|
| myMVS_eth3d | | | 390.90 188 | 437.44 189 | 251.28 199 | 310.54 206 | 255.86 206 | 965.13 209 | 98.58 222 | 746.06 214 | 266.26 208 | 788.85 214 | 154.95 223 | 364.76 212 | 490.19 200 | 116.42 199 | 133.22 199 |
|
| RPSCF | | | 394.81 189 | 445.63 191 | 242.35 195 | 276.55 203 | 253.63 205 | 1207.27 227 | 90.69 216 | 715.56 210 | 241.57 204 | 684.87 205 | 111.96 209 | 320.02 206 | 548.38 213 | 133.81 204 | 153.39 207 |
|
| WB-MVSnew | | | 404.84 190 | 458.00 192 | 245.36 196 | 374.70 215 | 320.27 217 | 1193.74 226 | 72.90 202 | 773.77 217 | 238.30 202 | 688.22 206 | 90.05 200 | 308.59 203 | 532.76 212 | 157.54 213 | 107.21 193 |
|
| testing99 | | | 408.82 191 | 462.15 193 | 248.86 198 | 322.45 208 | 269.42 210 | 1118.93 222 | 73.26 204 | 719.36 212 | 262.28 206 | 772.10 211 | 150.98 222 | 327.08 207 | 601.98 217 | 137.99 206 | 150.07 205 |
|
| testing3 | | | 418.10 192 | 469.06 194 | 265.23 202 | 335.69 209 | 290.63 212 | 1240.88 228 | 93.72 217 | 717.99 211 | 215.31 199 | 811.97 220 | 232.41 254 | 358.74 210 | 458.67 199 | 114.88 197 | 146.32 204 |
|
| myMVS_eth3d28 | | | 418.40 193 | 473.07 195 | 254.39 200 | 261.18 199 | 313.04 213 | 1172.79 225 | 74.16 205 | 929.18 225 | 264.68 207 | 745.72 210 | 139.03 220 | 318.91 205 | 549.18 214 | 121.71 203 | 131.21 196 |
|
| testing222 | | | 430.52 194 | 487.50 198 | 259.56 201 | 379.87 219 | 282.69 211 | 1138.34 223 | 81.30 209 | 880.86 221 | 281.58 211 | 834.27 222 | 135.83 218 | 333.22 208 | 514.90 210 | 140.56 207 | 162.76 208 |
|
| EG-PatchMatch MVS | | | 437.03 195 | 493.12 199 | 268.77 203 | 264.80 200 | 260.20 208 | 1491.80 234 | 98.00 221 | 723.20 213 | 238.80 203 | 722.40 208 | 63.10 193 | 382.00 216 | 629.00 221 | 207.00 228 | 164.10 211 |
|
| ADS-MVSNet2 | | | 443.33 196 | 482.84 196 | 324.79 215 | 434.94 228 | 387.73 226 | 1110.57 220 | 87.69 213 | 887.02 222 | 282.92 212 | 779.29 212 | 98.57 205 | 422.76 224 | 502.40 202 | 162.19 217 | 163.87 209 |
|
| ADS-MVSNet | | | 443.33 196 | 482.84 196 | 324.79 215 | 434.94 228 | 387.73 226 | 1110.57 220 | 87.69 213 | 887.02 222 | 282.92 212 | 779.29 212 | 98.57 205 | 422.76 224 | 502.40 202 | 162.19 217 | 163.87 209 |
|
| ETVMVS | | | 443.50 198 | 498.07 200 | 279.78 204 | 378.05 218 | 321.57 218 | 1163.68 224 | 87.12 212 | 897.50 224 | 269.81 210 | 822.83 221 | 141.20 221 | 334.53 209 | 568.21 216 | 154.21 208 | 183.26 215 |
|
| MVP-Stereo | | | 473.58 199 | 533.67 201 | 293.33 206 | 376.00 216 | 318.00 214 | 1461.00 232 | 96.00 218 | 835.00 219 | 290.00 215 | 804.00 217 | 97.00 203 | 383.00 218 | 688.00 229 | 156.00 210 | 179.00 213 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 199 | 533.67 201 | 293.33 206 | 376.00 216 | 318.00 214 | 1461.00 232 | 96.00 218 | 835.00 219 | 290.00 215 | 804.00 217 | 97.00 203 | 383.00 218 | 688.00 229 | 156.00 210 | 179.00 213 |
|
| testing3-2 | | | 489.51 201 | 555.88 204 | 290.42 205 | 362.21 213 | 319.27 216 | 1424.84 231 | 88.81 215 | 964.80 226 | 309.62 218 | 879.13 224 | 174.38 230 | 363.98 211 | 643.82 225 | 155.29 209 | 188.01 216 |
|
| PatchmatchNet |  | | 492.52 202 | 551.22 203 | 316.40 213 | 400.20 224 | 357.90 224 | 1277.10 229 | 115.80 229 | 1034.60 235 | 315.90 219 | 874.00 223 | 155.10 224 | 402.20 221 | 629.50 222 | 158.80 214 | 189.10 217 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| tpmvs | | | 501.65 203 | 567.42 205 | 304.33 209 | 395.39 223 | 356.32 223 | 1512.04 235 | 216.53 258 | 994.15 228 | 350.16 224 | 804.16 219 | 119.38 213 | 380.98 215 | 555.14 215 | 159.87 215 | 175.69 212 |
|
| DELS-MVS | | | 514.57 204 | 587.73 207 | 295.12 208 | 343.03 210 | 328.09 221 | 1540.48 236 | 116.22 230 | 988.59 227 | 325.44 222 | 906.22 225 | 119.86 214 | 365.72 214 | 788.60 233 | 161.09 216 | 191.55 219 |
| 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 |
| DP-MVS Recon | | | 516.25 205 | 581.17 206 | 321.48 214 | 361.02 212 | 429.00 230 | 1995.36 242 | 78.48 208 | 796.20 218 | 283.32 214 | 796.02 216 | 96.78 202 | 382.98 217 | 636.72 223 | 186.66 225 | 152.46 206 |
|
| gg-mvs-nofinetune | | | 594.69 206 | 605.37 208 | 562.67 236 | 617.29 244 | 500.33 234 | 772.30 198 | 413.12 279 | 579.21 197 | 552.71 243 | 567.40 193 | 662.54 298 | 531.67 228 | 503.93 204 | 779.80 276 | 656.02 260 |
|
| SR-MVS | | | 610.10 207 | 610.10 209 | 610.10 241 | 610.10 238 | 610.10 251 | 610.10 192 | 610.10 303 | 610.10 203 | 610.10 250 | 610.10 199 | 610.10 286 | 610.10 244 | 610.10 218 | 610.10 259 | 610.10 257 |
|
| CR-MVSNet | | | 612.36 208 | 617.81 211 | 596.01 239 | 611.29 240 | 600.33 248 | 790.30 199 | 513.12 294 | 579.21 197 | 552.71 243 | 567.40 193 | 662.54 298 | 531.67 228 | 503.93 204 | 779.80 276 | 656.02 260 |
|
| IterMVS | | | 615.05 209 | 691.66 212 | 385.23 219 | 516.40 231 | 454.80 231 | 1863.80 240 | 102.10 226 | 1142.20 237 | 364.10 225 | 1093.20 239 | 135.00 217 | 480.40 227 | 826.90 234 | 181.20 222 | 220.50 223 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 210 | 700.96 213 | 362.78 217 | 426.10 227 | 409.25 228 | 1822.69 239 | 124.42 241 | 1186.23 238 | 366.85 226 | 1079.42 237 | 190.60 242 | 451.78 226 | 930.72 238 | 181.59 223 | 227.30 224 |
| 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 |
| WBMVS | | | 655.88 211 | 770.84 216 | 310.98 212 | 391.79 222 | 353.00 222 | 2280.68 244 | 99.17 225 | 1776.79 258 | 301.20 217 | 1123.23 240 | 187.34 240 | 390.28 220 | 620.39 220 | 156.98 212 | 189.66 218 |
|
| ACMH+ | | 729.97 2 | 661.38 212 | 754.00 214 | 383.51 218 | 368.96 214 | 376.38 225 | 2483.74 256 | 82.42 210 | 1089.25 236 | 333.39 223 | 1219.68 241 | 66.53 195 | 573.60 241 | 957.86 239 | 184.14 224 | 200.56 222 |
|
| SSC-MVS3.2 | | | 667.82 213 | 787.71 217 | 308.16 210 | 385.94 220 | 327.65 219 | 1718.51 237 | 117.00 231 | 1942.46 263 | 317.12 220 | 1488.73 254 | 183.89 231 | 404.82 222 | 763.70 231 | 172.02 220 | 192.01 220 |
|
| UBG | | | 667.82 213 | 787.71 217 | 308.16 210 | 385.94 220 | 327.65 219 | 1718.51 237 | 117.00 231 | 1942.46 263 | 317.12 220 | 1488.73 254 | 183.89 231 | 404.82 222 | 763.70 231 | 172.02 220 | 192.01 220 |
|
| Gipuma |  | | 689.75 215 | 767.00 215 | 458.00 228 | 613.00 243 | 549.00 246 | 1943.00 241 | 187.00 255 | 1230.00 239 | 518.00 240 | 1092.00 238 | 203.00 248 | 564.00 233 | 892.00 237 | 225.00 238 | 261.00 232 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| IterMVS-LS | | | 758.94 216 | 856.56 221 | 466.10 229 | 606.60 236 | 546.80 244 | 2309.90 245 | 122.20 240 | 1402.80 243 | 463.50 230 | 1348.20 243 | 192.60 243 | 574.60 242 | 1028.60 249 | 234.60 240 | 276.90 234 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| new-patchmatchnet | | | 766.12 217 | 859.03 222 | 487.38 232 | 595.68 233 | 536.14 236 | 2346.27 246 | 142.51 246 | 1488.08 245 | 422.43 227 | 1361.32 245 | 163.65 227 | 628.60 246 | 1003.74 248 | 207.61 229 | 297.41 238 |
|
| SixPastTwentyTwo | | | 773.62 218 | 869.37 224 | 486.35 231 | 603.45 235 | 547.15 245 | 2532.14 257 | 106.92 228 | 1434.95 244 | 428.08 228 | 1360.56 244 | 165.15 228 | 628.96 247 | 984.09 240 | 209.01 230 | 282.94 235 |
|
| mvs_anonymous | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
|
| casdiffmvs | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
| 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 | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
| 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 | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
|
| baseline1 | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
|
| casdiffmvs_mvg | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
| 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 | | | 774.90 219 | 882.28 225 | 452.77 221 | 636.50 245 | 537.20 237 | 2348.80 247 | 120.30 233 | 1504.30 246 | 474.40 231 | 1371.10 246 | 186.90 233 | 564.70 234 | 1078.90 251 | 219.30 231 | 256.40 225 |
|
| RPMNet | | | 787.26 226 | 829.13 219 | 661.63 245 | 885.90 260 | 895.90 268 | 455.98 190 | 610.10 303 | 1297.17 240 | 1002.26 272 | 1001.67 235 | 655.98 296 | 611.10 245 | 667.90 226 | 885.21 288 | 477.90 254 |
|
| JIA-IIPM | | | 804.30 227 | 835.64 220 | 710.26 250 | 885.90 260 | 895.90 268 | 455.98 190 | 668.73 308 | 1297.17 240 | 1002.26 272 | 1001.67 235 | 655.98 296 | 756.98 251 | 667.90 226 | 885.21 288 | 477.90 254 |
|
| CSCG | | | 826.03 228 | 963.29 233 | 414.24 220 | 421.52 226 | 426.11 229 | 2230.35 243 | 179.52 254 | 1827.44 259 | 733.43 260 | 933.12 227 | 281.25 256 | 545.23 232 | 1800.35 268 | 262.64 242 | 271.38 233 |
|
| PVSNet | | 1207.94 6 | 829.56 229 | 937.18 232 | 506.69 233 | 645.55 252 | 585.72 247 | 2477.98 255 | 130.52 242 | 1578.29 254 | 509.50 239 | 1460.01 253 | 194.90 244 | 637.19 248 | 1170.78 259 | 267.07 244 | 297.17 237 |
|
| PatchT | | | 856.34 230 | 860.99 223 | 842.38 255 | 1290.90 275 | 880.90 266 | 790.30 199 | 1267.30 326 | 579.21 197 | 923.90 262 | 567.40 193 | 662.54 298 | 990.23 259 | 887.56 236 | 779.80 276 | 656.02 260 |
|
| K. test v3 | | | 877.74 231 | 980.16 234 | 570.46 238 | 1316.85 277 | 813.15 263 | 2565.52 258 | 103.78 227 | 1509.49 253 | 548.33 242 | 1258.90 242 | 219.93 253 | 587.82 243 | 1102.37 258 | 196.30 226 | 310.42 240 |
|
| MVSTER | | | 890.06 232 | 1005.91 241 | 542.52 234 | 736.13 257 | 653.90 255 | 2616.56 259 | 145.22 248 | 1692.10 257 | 555.69 246 | 1554.72 257 | 266.25 255 | 660.02 249 | 1219.66 260 | 266.84 243 | 313.64 241 |
|
| PMVS | | 863.65 3 | 957.08 233 | 1054.11 242 | 666.00 247 | 401.00 225 | 495.00 233 | 3790.00 264 | 279.00 260 | 1607.00 256 | 521.00 241 | 1745.00 259 | 90.00 198 | 1105.00 270 | 639.00 224 | 415.00 255 | 398.00 252 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| ACMH | | 993.80 5 | 967.92 234 | 1106.11 244 | 553.33 235 | 494.00 230 | 534.00 235 | 3581.00 262 | 136.00 243 | 1585.00 255 | 478.00 238 | 1871.00 261 | 90.00 198 | 839.00 253 | 1460.00 262 | 260.00 241 | 287.00 236 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet_0 | | 1661.03 9 | 968.54 235 | 1066.82 243 | 673.70 248 | 706.94 255 | 695.69 256 | 2669.02 260 | 153.52 250 | 2108.17 266 | 605.54 248 | 1679.14 258 | 213.26 252 | 886.75 256 | 1236.76 261 | 229.01 239 | 438.67 253 |
|
| OurMVSNet-221017-0 | | | 999.00 236 | 999.00 235 | 999.00 256 | 999.00 265 | 999.00 270 | 999.00 212 | 999.00 319 | 999.00 229 | 999.00 265 | 999.00 228 | 999.00 311 | 999.00 261 | 999.00 241 | 999.00 295 | 999.00 292 |
|
| EPMVS | | | 999.00 236 | 999.00 235 | 999.00 256 | 999.00 265 | 999.00 270 | 999.00 212 | 999.00 319 | 999.00 229 | 999.00 265 | 999.00 228 | 999.00 311 | 999.00 261 | 999.00 241 | 999.00 295 | 999.00 292 |
|
| uanet_test | | | 1000.00 238 | 1000.00 237 | 1000.00 259 | 1000.00 268 | 1000.00 273 | 1000.00 215 | 1000.00 322 | 1000.00 231 | 1000.00 268 | 1000.00 231 | 1000.00 314 | 1000.00 264 | 1000.00 244 | 1000.00 298 | 1000.00 295 |
|
| sosnet | | | 1000.00 238 | 1000.00 237 | 1000.00 259 | 1000.00 268 | 1000.00 273 | 1000.00 215 | 1000.00 322 | 1000.00 231 | 1000.00 268 | 1000.00 231 | 1000.00 314 | 1000.00 264 | 1000.00 244 | 1000.00 298 | 1000.00 295 |
|
| USDC | | | 1000.00 238 | 1000.00 237 | 1000.00 259 | 1000.00 268 | 1000.00 273 | 1000.00 215 | 1000.00 322 | 1000.00 231 | 1000.00 268 | 1000.00 231 | 1000.00 314 | 1000.00 264 | 1000.00 244 | 1000.00 298 | 1000.00 295 |
|
| TinyColmap | | | 1000.00 238 | 1000.00 237 | 1000.00 259 | 1000.00 268 | 1000.00 273 | 1000.00 215 | 1000.00 322 | 1000.00 231 | 1000.00 268 | 1000.00 231 | 1000.00 314 | 1000.00 264 | 1000.00 244 | 1000.00 298 | 1000.00 295 |
|
| ACMP | | 1246.57 7 | 1086.24 242 | 1235.17 246 | 639.45 242 | 596.53 234 | 639.91 253 | 3904.24 265 | 152.04 249 | 1851.54 260 | 566.58 247 | 1997.95 263 | 138.50 219 | 938.30 257 | 1605.46 264 | 303.70 250 | 340.14 243 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| Patchmtry | | | 1090.75 243 | 1198.88 245 | 766.38 254 | 1290.90 275 | 485.90 232 | 2423.98 254 | 1267.30 326 | 1297.17 240 | 923.90 262 | 923.40 226 | 1215.54 319 | 990.23 259 | 667.90 226 | 779.80 276 | 823.02 274 |
|
| test_0402 | | | 1110.00 244 | 1260.00 247 | 660.00 244 | 900.00 263 | 780.00 262 | 3300.00 261 | 210.00 257 | 2040.00 265 | 690.00 255 | 1950.00 262 | 300.00 259 | 810.00 252 | 1620.00 265 | 330.00 251 | 390.00 251 |
|
| MVS_111021_LR | | | 1136.45 245 | 1298.72 248 | 649.64 243 | 756.17 258 | 726.26 259 | 3785.94 263 | 138.15 245 | 2190.64 267 | 629.63 253 | 2064.39 264 | 165.45 229 | 874.83 255 | 1678.43 267 | 279.70 245 | 347.82 246 |
|
| ACMM | | 1311.08 8 | 1165.06 246 | 1332.72 249 | 662.07 246 | 584.90 232 | 715.99 258 | 4373.59 269 | 153.99 251 | 1880.27 261 | 709.02 257 | 2316.97 265 | 188.63 241 | 939.89 258 | 1484.30 263 | 302.78 249 | 330.34 242 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 1242.93 247 | 1411.08 250 | 738.48 252 | 712.71 256 | 712.68 257 | 4168.17 267 | 136.50 244 | 2276.40 268 | 613.28 252 | 2368.60 268 | 161.61 226 | 1130.38 271 | 1964.54 271 | 297.88 247 | 372.39 248 |
|
| MG-MVS | | | 1256.50 248 | 1432.00 251 | 730.00 251 | 610.00 237 | 760.00 260 | 4720.00 270 | 169.00 252 | 1920.00 262 | 723.00 259 | 2510.00 271 | 201.00 246 | 1050.00 268 | 1645.00 266 | 390.00 254 | 380.00 249 |
|
| ACMMPR | | | 1296.60 249 | 1480.82 252 | 743.96 253 | 899.25 262 | 763.47 261 | 4305.47 268 | 143.90 247 | 2530.94 271 | 683.99 254 | 2346.34 267 | 201.65 247 | 1098.25 269 | 1920.59 270 | 295.21 246 | 370.16 247 |
|
| TSAR-MVS + GP. | | | 1386.84 250 | 1622.84 254 | 678.81 249 | 952.13 264 | 840.17 265 | 5358.21 273 | 170.75 253 | 2650.47 272 | 713.54 258 | 2394.28 269 | 209.42 251 | 855.56 254 | 1854.36 269 | 302.42 248 | 340.71 244 |
|
| FPMVS | | | 1407.00 251 | 1495.59 253 | 1141.23 264 | 648.01 253 | 893.85 267 | 4124.00 266 | 503.81 293 | 3219.04 274 | 742.72 261 | 2498.84 270 | 157.98 225 | 1727.83 277 | 832.93 235 | 732.98 275 | 802.00 269 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 252 | 1886.82 256 | 481.89 230 | 847.73 259 | 830.16 264 | 7943.84 289 | 189.23 256 | 2398.83 269 | 691.73 256 | 2341.13 266 | 209.16 250 | 230.25 195 | 1999.25 272 | 360.46 252 | 385.25 250 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| COLMAP_ROB | | 2144.59 11 | 1658.33 253 | 1869.33 255 | 1025.33 263 | 1030.00 272 | 1023.00 277 | 5311.00 272 | 359.00 269 | 3044.00 273 | 937.00 264 | 2892.00 272 | 332.00 263 | 1440.00 274 | 2312.00 274 | 607.00 258 | 613.00 259 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| F-COLMAP | | | 1878.17 254 | 2113.11 257 | 1173.33 267 | 1231.00 273 | 1174.00 278 | 6297.00 275 | 392.00 274 | 3356.00 276 | 1087.00 274 | 3082.00 273 | 361.00 267 | 1670.00 276 | 2523.00 276 | 689.00 265 | 676.00 264 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 255 | 2224.88 259 | 1163.39 266 | 1253.91 274 | 1434.22 281 | 7065.71 279 | 272.76 259 | 2472.29 270 | 1647.54 304 | 3538.72 276 | 200.37 245 | 1496.48 275 | 2575.17 277 | 997.45 294 | 559.48 256 |
|
| CMPMVS |  | 2623.62 15 | 1983.08 256 | 2156.14 258 | 1463.89 277 | 1414.80 279 | 1517.00 283 | 5239.20 271 | 867.40 313 | 3310.30 275 | 1128.70 276 | 3489.90 275 | 366.75 268 | 2030.20 288 | 2427.60 275 | 1160.60 307 | 844.46 277 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| MVS-HIRNet | | | 2125.39 257 | 2452.68 260 | 1143.53 265 | 2938.33 320 | 1446.92 282 | 6083.19 274 | 391.74 273 | 3801.71 279 | 1202.10 278 | 3439.72 274 | 492.73 277 | 1304.35 273 | 3048.25 281 | 676.32 264 | 679.32 265 |
|
| PLC | | 2858.82 16 | 2192.92 258 | 2474.00 261 | 1349.67 269 | 1407.00 278 | 1356.00 280 | 7164.00 280 | 475.00 286 | 3970.00 280 | 1237.00 281 | 3765.00 279 | 451.00 274 | 1891.00 282 | 3006.00 280 | 791.00 281 | 802.00 269 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| OpenMVS | | 2352.88 13 | 2263.08 259 | 2530.89 262 | 1459.67 276 | 1767.00 290 | 1591.00 286 | 7932.00 288 | 399.00 275 | 3643.00 277 | 1176.00 277 | 3569.00 277 | 297.00 258 | 1927.00 284 | 3302.00 282 | 693.00 270 | 861.00 278 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 260 | 2597.03 263 | 1297.84 268 | 1701.20 282 | 1332.37 279 | 8105.11 290 | 451.45 282 | 4031.84 281 | 1099.10 275 | 3966.50 280 | 467.45 275 | 1734.05 278 | 2701.68 279 | 848.94 285 | 827.11 275 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 261 | 2643.03 264 | 1434.14 270 | 2025.55 299 | 1629.36 290 | 6542.40 276 | 412.49 276 | 4219.70 283 | 1547.02 292 | 4328.52 282 | 650.74 293 | 1798.26 279 | 3333.17 283 | 727.72 272 | 874.79 279 |
|
| CHOSEN 1792x2688 | | | 2340.81 261 | 2643.03 264 | 1434.14 270 | 2025.55 299 | 1629.36 290 | 6542.40 276 | 412.49 276 | 4219.70 283 | 1547.02 292 | 4328.52 282 | 650.74 293 | 1798.26 279 | 3333.17 283 | 727.72 272 | 874.79 279 |
|
| HyFIR lowres test | | | 2340.81 261 | 2643.03 264 | 1434.14 270 | 2025.55 299 | 1629.36 290 | 6542.40 276 | 412.49 276 | 4219.70 283 | 1547.02 292 | 4328.52 282 | 650.74 293 | 1798.26 279 | 3333.17 283 | 727.72 272 | 874.79 279 |
|
| 3Dnovator | | 2482.06 14 | 2531.17 264 | 2839.56 267 | 1606.00 278 | 1732.00 286 | 1557.00 285 | 8375.00 292 | 483.00 287 | 4370.00 286 | 1371.00 287 | 4200.00 281 | 350.00 265 | 2207.00 289 | 3877.00 289 | 798.00 282 | 1054.00 299 |
|
| tpmrst | | | 2557.50 265 | 2847.12 268 | 1688.66 281 | 1784.08 291 | 1778.25 300 | 7445.50 286 | 342.14 266 | 4471.54 287 | 1534.55 291 | 4382.10 285 | 530.10 281 | 2361.21 292 | 4142.81 293 | 991.22 293 | 926.51 284 |
|
| AdaColmap | | | 2570.77 266 | 2948.61 269 | 1437.24 273 | 1873.64 292 | 1526.60 284 | 7819.77 287 | 373.97 270 | 4970.45 290 | 1479.29 289 | 4648.46 287 | 525.80 280 | 1904.97 283 | 4150.42 294 | 695.69 271 | 880.14 282 |
|
| SD-MVS | | | 2654.53 267 | 3055.56 272 | 1451.45 274 | 1725.60 283 | 1598.35 287 | 9203.30 296 | 315.86 263 | 5016.02 292 | 1363.85 284 | 4894.28 290 | 387.23 269 | 2023.43 285 | 3973.88 290 | 620.04 261 | 732.56 266 |
| 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 |
| DeepPCF-MVS | | 3452.42 18 | 2670.71 268 | 3021.57 270 | 1618.12 279 | 2377.67 306 | 1751.39 299 | 8915.70 295 | 567.44 301 | 4569.74 288 | 1236.84 280 | 4615.63 286 | 513.23 278 | 2291.32 290 | 3515.48 286 | 882.39 287 | 811.66 271 |
|
| LF4IMVS | | | 2699.50 269 | 3049.67 271 | 1649.00 280 | 1755.00 287 | 1689.00 294 | 8330.00 291 | 464.00 284 | 4997.00 291 | 1528.00 290 | 4763.00 289 | 568.00 284 | 2296.00 291 | 4215.00 295 | 827.00 284 | 962.00 289 |
|
| EGC-MVSNET | | | 2819.75 270 | 3096.89 273 | 1988.33 291 | 3105.00 321 | 2241.00 311 | 9480.00 300 | 640.00 307 | 4209.00 282 | 1583.00 297 | 4740.00 288 | 547.00 283 | 2797.00 304 | 2644.00 278 | 924.00 291 | 927.00 285 |
|
| Vis-MVSNet | | | 2877.42 271 | 3170.00 274 | 1999.67 292 | 1673.00 281 | 2042.00 309 | 8593.00 293 | 474.00 285 | 6452.00 305 | 1268.00 282 | 5125.00 293 | 339.00 264 | 3004.00 306 | 4222.00 296 | 384.00 253 | 953.00 288 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| SteuartSystems-ACMMP | | | 2891.50 272 | 3284.78 275 | 1711.67 282 | 1954.00 293 | 1655.00 293 | 10117.00 309 | 445.00 281 | 5102.00 295 | 1375.00 288 | 5126.00 294 | 351.00 266 | 2638.00 302 | 4402.00 297 | 691.00 268 | 842.00 276 |
| Skip Steuart: Steuart Systems R&D Blog. |
| 3Dnovator+ | | 3414.41 17 | 3146.67 273 | 3537.00 276 | 1975.67 289 | 2310.00 304 | 2005.00 308 | 10100.00 308 | 626.00 306 | 5753.00 296 | 1803.00 307 | 5179.00 295 | 487.00 276 | 2622.00 300 | 4550.00 298 | 1025.00 302 | 1300.00 306 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 274 | 3601.83 277 | 1814.72 287 | 2515.52 309 | 1941.53 304 | 10432.50 310 | 589.42 302 | 4789.45 289 | 1298.65 283 | 7677.31 311 | 578.35 285 | 2589.53 296 | 3611.78 288 | 923.52 290 | 913.10 283 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DPM-MVS | | | 3268.00 275 | 3762.89 278 | 1783.33 285 | 1756.00 288 | 1806.00 301 | 12319.00 312 | 307.00 261 | 6319.00 303 | 1557.00 295 | 5763.00 296 | 302.00 260 | 2609.00 298 | 5061.00 301 | 482.00 256 | 935.00 286 |
|
| OPM-MVS | | | 3268.00 275 | 3762.89 278 | 1783.33 285 | 1756.00 288 | 1806.00 301 | 12319.00 312 | 307.00 261 | 6319.00 303 | 1557.00 295 | 5763.00 296 | 302.00 260 | 2609.00 298 | 5061.00 301 | 482.00 256 | 935.00 286 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| TAPA-MVS | | 6309.84 21 | 3374.90 277 | 3806.99 280 | 2078.63 294 | 2535.47 310 | 2499.25 319 | 8816.16 294 | 456.05 283 | 6255.60 302 | 1664.52 305 | 6704.88 301 | 629.95 291 | 2768.38 303 | 6343.93 315 | 856.35 286 | 968.25 290 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 278 | 4065.89 285 | 1914.35 288 | 2349.10 305 | 2141.30 310 | 12362.70 314 | 417.60 280 | 6717.80 309 | 1759.40 306 | 6497.50 299 | 518.18 279 | 2629.38 301 | 5164.32 303 | 806.40 283 | 972.38 291 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| tpm2 | | | 3617.85 279 | 4007.23 281 | 2449.73 299 | 2012.71 295 | 1698.05 295 | 7351.19 282 | 869.29 314 | 6132.06 298 | 1588.28 298 | 8007.42 314 | 1281.09 320 | 3888.11 318 | 7472.04 319 | 1351.00 309 | 1763.02 315 |
|
| tpm cat1 | | | 3617.85 279 | 4007.23 281 | 2449.73 299 | 2012.71 295 | 1698.05 295 | 7351.19 282 | 869.29 314 | 6132.06 298 | 1588.28 298 | 8007.42 314 | 1281.09 320 | 3888.11 318 | 7472.04 319 | 1351.00 309 | 1763.02 315 |
|
| CostFormer | | | 3617.85 279 | 4007.23 281 | 2449.73 299 | 2012.71 295 | 1698.05 295 | 7351.19 282 | 869.29 314 | 6132.06 298 | 1588.28 298 | 8007.42 314 | 1281.09 320 | 3888.11 318 | 7472.04 319 | 1351.00 309 | 1763.02 315 |
|
| tpm | | | 3617.85 279 | 4007.23 281 | 2449.73 299 | 2012.71 295 | 1698.05 295 | 7351.19 282 | 869.29 314 | 6132.06 298 | 1588.28 298 | 8007.42 314 | 1281.09 320 | 3888.11 318 | 7472.04 319 | 1351.00 309 | 1763.02 315 |
|
| MVS_111021_HR | | | 3742.80 283 | 4330.34 286 | 1980.20 290 | 2484.31 308 | 2259.52 312 | 14973.80 319 | 515.90 300 | 6500.13 306 | 1949.21 309 | 6146.89 298 | 535.66 282 | 2593.66 297 | 4880.76 300 | 986.37 292 | 1087.43 300 |
|
| MAR-MVS | | | 3973.16 284 | 4387.92 287 | 2728.86 305 | 3345.27 322 | 3341.39 326 | 11403.90 311 | 798.76 311 | 6555.62 308 | 2569.29 319 | 6514.86 300 | 834.97 305 | 3237.43 315 | 5891.08 306 | 1577.54 314 | 1607.76 307 |
| 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 |
| DVP-MVS++ | | | 3981.10 285 | 4731.32 290 | 1730.42 283 | 2191.51 302 | 1949.98 305 | 16473.90 321 | 355.33 267 | 7172.90 314 | 1622.98 302 | 7879.79 312 | 434.33 272 | 2428.11 294 | 5762.12 304 | 689.04 266 | 813.18 272 |
|
| DVP-MVS | | | 3981.10 285 | 4731.32 290 | 1730.42 283 | 2191.51 302 | 1949.98 305 | 16473.90 321 | 355.33 267 | 7172.90 314 | 1622.98 302 | 7879.79 312 | 434.33 272 | 2428.11 294 | 5762.12 304 | 689.04 266 | 813.18 272 |
| 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 |
| GST-MVS | | | 4000.00 287 | 4533.33 288 | 2400.00 298 | 2400.00 307 | 2400.00 313 | 7200.00 281 | 2400.00 330 | 7200.00 316 | 2400.00 318 | 7200.00 306 | 2400.00 324 | 2400.00 293 | 7200.00 317 | 2400.00 321 | 2400.00 320 |
|
| SED-MVS | | | 4062.74 288 | 4671.13 289 | 2237.56 295 | 2643.17 311 | 2465.14 314 | 13996.40 316 | 493.26 288 | 7619.38 317 | 2107.24 310 | 7416.93 308 | 610.24 288 | 3088.29 311 | 6075.14 311 | 1078.39 303 | 1159.26 301 |
|
| MSP-MVS | | | 4296.20 289 | 4911.12 293 | 2451.45 303 | 2725.60 316 | 2598.35 320 | 16203.30 320 | 515.86 296 | 7016.02 310 | 2363.85 314 | 6894.28 302 | 887.23 306 | 3023.43 307 | 5973.88 307 | 1620.04 315 | 1732.56 311 |
| 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 |
| API-MVS | | | 4380.83 290 | 4906.56 292 | 2803.67 306 | 3844.00 323 | 3116.00 325 | 13454.00 315 | 901.00 318 | 6511.00 307 | 2794.00 320 | 7365.00 307 | 754.00 302 | 3634.00 316 | 6622.00 316 | 1914.00 320 | 1661.00 310 |
|
| OMC-MVS | | | 5022.26 291 | 5748.82 294 | 2842.58 307 | 4905.27 325 | 3101.27 324 | 14933.60 318 | 812.24 312 | 9278.40 321 | 2959.29 321 | 8800.17 318 | 1092.24 318 | 3806.30 317 | 7568.54 323 | 1389.60 313 | 1620.18 309 |
|
| CLD-MVS | | | 7338.25 292 | 8341.00 295 | 4330.00 308 | 4902.00 324 | 4991.00 327 | 23318.00 324 | 728.00 310 | 14437.00 331 | 4378.00 323 | 13379.00 326 | 824.00 304 | 5708.00 322 | 11429.00 332 | 1674.00 319 | 2291.00 319 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 293 | 8776.23 296 | 4410.16 309 | 5298.55 326 | 5631.53 328 | 34329.90 326 | 1504.57 328 | 11554.00 330 | 3896.41 322 | 15111.00 327 | 812.19 303 | 5985.63 323 | 3516.20 287 | 2963.23 322 | 1613.31 308 |
|
| ZNCC-MVS | | | 9999.00 294 | 9999.00 297 | 9999.00 311 | 9999.00 329 | 9999.00 331 | 9999.00 301 | 9999.00 334 | 9999.00 322 | 9999.00 326 | 9999.00 319 | 9999.00 327 | 9999.00 324 | 9999.00 324 | 9999.00 325 | 9999.00 323 |
|
| patch_mono-2 | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| dcpmvs_2 | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| DCPMVS | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| UA-Net | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| uncertanet | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| uanet | | | 10000.00 295 | 10000.00 298 | 10000.00 312 | 10000.00 330 | 10000.00 332 | 10000.00 302 | 10000.00 335 | 10000.00 323 | 10000.00 327 | 10000.00 320 | 10000.00 328 | 10000.00 325 | 10000.00 325 | 10000.00 326 | 10000.00 324 |
|
| MVE | | 10021.00 22 | 10550.67 301 | 10002.44 304 | 12195.33 318 | 6242.00 327 | 8768.00 330 | 30896.00 325 | 4451.00 331 | 10331.00 329 | 6247.00 324 | 18296.00 328 | 283.00 257 | 21484.00 332 | 7364.00 318 | 5912.00 324 | 6334.00 322 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 302 | 11772.44 305 | 7637.33 310 | 9120.00 328 | 8206.00 329 | 22252.00 323 | 2010.00 329 | 24984.00 332 | 7458.00 325 | 22596.00 329 | 2940.00 325 | 10260.00 331 | 11100.00 331 | 3492.00 323 | 4446.00 321 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 303 | 22805.00 306 | 25097.33 319 | 15500.00 336 | 19201.00 338 | 42712.00 327 | 6055.00 332 | 38388.00 333 | 16926.00 333 | 38534.00 330 | 7071.00 326 | 35653.00 333 | 29475.00 333 | 10584.00 332 | 20438.00 331 |
| 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 | | | 32606.17 304 | 34443.44 307 | 27094.33 320 | 29249.00 337 | 25246.00 339 | 51144.00 328 | 6705.00 333 | 42886.00 334 | 22888.00 334 | 48534.00 331 | 13263.00 334 | 37507.00 334 | 79298.00 334 | 16024.00 333 | 18530.00 330 |
|
| 114514_t | | | 99999.00 305 | 99999.00 308 | 99999.00 321 | 99999.00 338 | 99999.00 340 | 99999.00 329 | 99999.00 341 | 99999.00 335 | 99999.00 335 | 99999.00 332 | 99999.00 335 | 99999.00 335 | 99999.00 335 | 99999.00 334 | 99999.00 332 |
|
| PHI-MVS | | | 99999.00 305 | 99999.00 308 | 99999.00 321 | 99999.00 338 | 99999.00 340 | 99999.00 329 | 99999.00 341 | 99999.00 335 | 99999.00 335 | 99999.00 332 | 99999.00 335 | 99999.00 335 | 99999.00 335 | 99999.00 334 | 99999.00 332 |
|
| MP-MVS-pluss | | | 833433.63 307 | 1111219.60 313 | 75.70 168 | 74.28 172 | 73.29 175 | 284.50 173 | 11.35 168 | 238.58 177 | 65.86 173 | 255.35 185 | 14.55 166 | 115.69 187 | 10000000.00 340 | 31.94 166 | 38.12 172 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MTAPA | | | 833442.10 308 | 1111233.77 314 | 67.09 164 | 65.59 171 | 64.81 174 | 284.50 173 | 10000000.00 346 | 219.97 176 | 59.62 172 | 229.89 180 | 12.72 165 | 103.00 185 | 203.67 186 | 27.93 165 | 33.46 164 |
|
| XVG-OURS-SEG-HR | | | 999999.00 309 | 999999.00 310 | 999999.00 323 | 999999.00 340 | 999999.00 342 | 999999.00 331 | 999999.00 343 | 999999.00 337 | 999999.00 337 | 999999.00 334 | 999999.00 337 | 999999.00 337 | 999999.00 337 | 999999.00 336 | 999999.00 334 |
|
| XVG-OURS | | | 999999.00 309 | 999999.00 310 | 999999.00 323 | 999999.00 340 | 999999.00 342 | 999999.00 331 | 999999.00 343 | 999999.00 337 | 999999.00 337 | 999999.00 334 | 999999.00 337 | 999999.00 337 | 999999.00 337 | 999999.00 336 | 999999.00 334 |
|
| XVG-ACMP-BASELINE | | | 999999.00 309 | 999999.00 310 | 999999.00 323 | 999999.00 340 | 999999.00 342 | 999999.00 331 | 999999.00 343 | 999999.00 337 | 999999.00 337 | 999999.00 334 | 999999.00 337 | 999999.00 337 | 999999.00 337 | 999999.00 336 | 999999.00 334 |
|
| mamba_0408 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| icg_test_0407_2 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mamba_test_0407_2 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mamba_test_0407 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| icg_test_0407 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| ICG_test_0404 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mamba_0404 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| icg_test_0403 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| SD_0403 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| NormalMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| lecture | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| SymmetryMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Elysia | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| StellarMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| KinetiMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| LuminaMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| VortexMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| AstraMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| guyue | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| sc_t1 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tt0320-xc | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tt0320 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MVSMamba_PlusPlus | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MGCFI-Net | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| sasdasda | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| dmvs_re | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| SDMVSNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| dmvs_testset | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| sd_testset | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| balanced_conf03 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MonoMVSNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test2506 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test1111 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| ECVR-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test_blank | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tt0805 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Anonymous20240521 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| cl22 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| miper_ehance_all_eth | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| miper_enhance_ethall | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| cl____ | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| DIV-MVS_self_test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| eth_miper_zixun_eth | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| UniMVSNet_ETH3D | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| miper_lstm_enhance | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| D2MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test_yl | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| thisisatest0530 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Anonymous20240529 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Anonymous202405211 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| DCV-MVSNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tttt0517 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| our_test_3 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| thisisatest0515 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| ppachtmachnet_test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| SMA-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| 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 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tfpnnormal | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| tfpn200view9 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| c3_l | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| IterMVS-SCA-FT | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pmmvs6 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pmmvs5 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Anonymous20231211 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pmmvs-eth3d | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Anonymous20231206 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| SCA | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Patchmatch-test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Patchmatch-RL test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| canonicalmvs | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| anonymousdsp | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| FIs | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| FC-MVSNet-test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| sosnet-low-res | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| AllTest | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| RRT-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mamv4 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| HPM-MVS++ | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| XVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pm-mvs1 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| X-MVStestdata | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| APDe-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pmmvs4 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test-LLR | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| TESTMET0.1,1 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test-mter | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| testgi | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test20.03 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| thres600view7 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MP-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| thres400 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test123 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| thres200 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test0.0.03 1 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| pmmvs3 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| EMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| E-PMN | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PGM-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MCST-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| MVS_Test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PMMVS2 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PM-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| HQP_MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mPP-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| mvsmamba | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| HPM-MVS_fast | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| HPM-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| EPNet_dtu | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CNVR-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| NCCC | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| CP-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| CPTT-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| HQP-MVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| IS-MVSNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PAPM_NR | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PAPR | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PatchMatch-RL | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| TDRefinement | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| EPP-MVSNet | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PMMVS | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| PAPM | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| ACMMP | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
| 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 | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| wuyk23d | | | 10000000.00 312 | 10000000.00 315 | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | 10000000.00 334 | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| APD-MVS | | | 1000000000.00 443 | 1000000000.00 446 | 1000000000.00 459 | 1000000000.00 484 | 1000000000.00 484 | 1000000000.00 470 | 1000000000.00 484 | 1000000000.00 477 | 1000000000.00 478 | 1000000000.00 475 | 1000000000.00 480 | 1000000000.00 478 | 1000000000.00 477 | 1000000000.00 476 | 1000000000.00 474 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 204 | | | | | | | | 422.23 197 | | |
|
| FOURS1 | | | | | | 2643.17 311 | 2465.14 314 | 13996.40 316 | 493.26 288 | 7619.38 317 | 2107.24 310 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 295 | 2643.17 311 | 2465.14 314 | | 493.26 288 | | | | | 3088.29 311 | 6075.14 311 | 1078.39 303 | 1159.26 301 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 317 | 2107.24 310 | 7416.93 308 | 610.24 288 | 3088.29 311 | 6075.14 311 | 1078.39 303 | 1159.26 301 |
|
| No_MVS | | | | | 2237.56 295 | 2643.17 311 | 2465.14 314 | | 493.26 288 | | | | | 3088.29 311 | 6075.14 311 | 1078.39 303 | 1159.26 301 |
|
| test_one_0601 | | | | | | 2643.17 311 | 2465.14 314 | | 493.26 288 | 7619.38 317 | 2107.24 310 | 7416.93 308 | 610.24 288 | | | | |
|
| eth-test2 | | | | | | 1.42 97 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 343 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 1584.00 280 | 1821.00 303 | | 378.00 272 | 3721.00 278 | 1231.00 279 | 1833.00 260 | 321.00 262 | 1224.00 272 | 2103.00 273 | 692.00 269 | |
|
| RE-MVS-def | | | | 610.10 209 | | 610.10 238 | 610.10 251 | 610.10 192 | 610.10 303 | 610.10 203 | 610.10 250 | 610.10 199 | 610.10 286 | | 610.10 218 | 610.10 259 | 610.10 257 |
|
| IU-MVS | | | | | | 2725.60 316 | 2598.35 320 | | 515.86 296 | 7016.02 310 | 2363.85 314 | | | | 5973.88 307 | 1620.04 315 | 1732.56 311 |
|
| OPU-MVS | | | | | 2451.45 303 | 2725.60 316 | 2598.35 320 | 9203.30 296 | | | | 6894.28 302 | 887.23 306 | 3023.43 307 | 5973.88 307 | 1620.04 315 | 1732.56 311 |
|
| test_241102_TWO | | | | | | | | | 515.86 296 | 7016.02 310 | 2363.85 314 | 6894.28 302 | 887.23 306 | 3023.43 307 | 5973.88 307 | 1620.04 315 | 1732.56 311 |
|
| test_241102_ONE | | | | | | 2725.60 316 | 2598.35 320 | | 515.86 296 | 7016.02 310 | 2363.85 314 | 6894.28 302 | 887.23 306 | 3023.43 307 | | | |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 292 | 1363.85 284 | 4894.28 290 | 387.23 269 | 2023.43 285 | 3973.88 290 | 620.04 261 | 732.56 266 |
|
| test_0728_SECOND | | | | | 1451.45 274 | 1725.60 283 | 1598.35 287 | 9203.30 296 | 315.86 263 | | | | | 2023.43 285 | 3973.88 290 | 620.04 261 | 732.56 266 |
|
| test0726 | | | | | | 1725.60 283 | 1598.35 287 | 9203.30 296 | 315.86 263 | 5016.02 292 | 1363.85 284 | 4894.28 290 | 387.23 269 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 337 |
|
| test_part2 | | | | | | 10000000.00 343 | 10000000.00 345 | | | | 10000000.00 340 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 340 | | | | 10000000.00 337 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 340 | | | | |
|
| ambc | | | | | 999.00 256 | 999.00 265 | 999.00 270 | 999.00 212 | 999.00 319 | | 999.00 265 | 999.00 228 | 999.00 311 | 999.00 261 | 999.00 241 | 999.00 295 | 999.00 292 |
|
| MTGPA | | | | | | | | | 10000000.00 346 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 334 | | | | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | | | |
|
| GG-mvs-BLEND | | | | | 596.01 239 | 611.29 240 | 600.33 248 | 790.30 199 | 513.12 294 | | 552.71 243 | 567.40 193 | 662.54 298 | 531.67 228 | 503.93 204 | 779.80 276 | 656.02 260 |
|
| MTMP | | | | | | | | 10000000.00 334 | 10000000.00 346 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 240 | 600.33 248 | | | 579.21 197 | | 567.40 193 | | 531.67 228 | 503.93 204 | | |
|
| test9_res | | | | | | | | | | | | | | | 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 | | | |
|
| 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_prior2 | | | | | | | | | | | | | | | 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 | | | |
|
| TestCases | | | | | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| 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 | |
|
| 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•2 | | | | | | | | 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 |
|
| 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 |
|
| æ— å…ˆéªŒ | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 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 |
|
| testdata1 | | | | | | | | 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 |
|
| plane_prior7 | | | | | | 10000000.00 343 | 10000000.00 345 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 343 | 10000000.00 345 | | | | | | 10000000.00 340 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 346 | | | | | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 337 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 345 | | | 10000000.00 340 | 10000000.00 340 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 334 | | 10000000.00 340 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 343 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 91 | 2.00 129 | | 2.00 130 | | | | | | 2.00 128 | |
|
| n2 | | | | | | | | | 14.20 171 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 99 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 99 | | | | | | | | |
|
| lessismore_v0 | | | | | 569.20 237 | 667.25 254 | 644.68 254 | | 96.45 220 | | 428.86 229 | 1514.17 256 | 204.21 249 | 756.58 250 | 1061.60 250 | 197.79 227 | 306.34 239 |
|
| LGP-MVS_train | | | | | 10000000.00 326 | 10000000.00 343 | 10000000.00 345 | | 10000000.00 346 | 10000000.00 340 | 10000000.00 340 | 10000000.00 337 | 10000000.00 340 | 10000000.00 340 | 10000000.00 340 | 10000000.00 339 | 10000000.00 337 |
|
| test11 | | | | | | | | | 1.00 92 | | | | | | | | |
|
| door | | | | | | | | | 99.00 224 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 345 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 343 | | 10000000.00 334 | | 10000000.00 340 | 10000000.00 340 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 343 | | 10000000.00 334 | | 10000000.00 340 | 10000000.00 340 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 340 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 340 | | | 10000000.00 340 | | | 10000000.00 337 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 346 | | | | | | | 10000000.00 339 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 340 | | | | |
|
| NP-MVS | | | | | | 10000000.00 343 | 10000000.00 345 | | | | | 10000000.00 337 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 151 | 9.99 149 | | 9.99 150 | 9.99 149 | | 9.99 151 | | 9.99 147 | | 9.99 150 |
|
| MDTV_nov1_ep13 | | | | 9.99 137 | | 9.99 150 | 9.99 151 | 9.99 149 | 9.99 157 | 9.99 150 | 9.99 149 | 9.99 146 | 9.99 151 | 9.99 150 | 9.99 147 | 9.99 151 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 339 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 339 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 310 | | | | |
|
| ITE_SJBPF | | | | | 2014.00 293 | 1998.00 294 | 1992.00 307 | | 701.00 309 | 5989.00 297 | 1812.00 308 | 3612.00 278 | 650.00 292 | 2852.00 305 | 4601.00 299 | 1195.00 308 | 1198.00 305 |
|
| DeepMVS_CX | | | | | 1.00 84 | 1.00 91 | 1.00 91 | | 1.00 92 | 1.00 91 | 1.00 90 | 1.00 88 | 1.00 90 | 1.00 91 | 1.00 89 | 1.00 89 | 1.00 89 |
|
