| viewdifsd2359ckpt13 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewcassd2359sk11 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt11 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmacassd2359aftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmsd2359difaftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| diffmvs_AUTHOR | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| FE-MVSNET | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_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 56 | 0.30 57 | 0.30 61 | 0.30 68 | 0.30 68 | 0.30 68 | 0.30 69 | 0.30 68 | 0.30 67 | 0.30 65 | 0.30 67 | 0.30 68 | 0.30 66 | 0.30 66 | 0.30 66 |
|
| hse-mvs2 | | | 0.30 56 | 0.30 57 | 0.30 61 | 0.30 68 | 0.30 68 | 0.30 68 | 0.30 69 | 0.30 68 | 0.30 67 | 0.30 65 | 0.30 67 | 0.30 68 | 0.30 66 | 0.30 66 | 0.30 66 |
|
| CL-MVSNet_self_test | | | 0.30 56 | 0.30 57 | 0.30 61 | 0.30 68 | 0.30 68 | 0.30 68 | 0.30 69 | 0.30 68 | 0.30 67 | 0.30 65 | 0.30 67 | 0.30 68 | 0.30 66 | 0.30 66 | 0.30 66 |
|
| AUN-MVS | | | 0.30 56 | 0.30 57 | 0.30 61 | 0.30 68 | 0.30 68 | 0.30 68 | 0.30 69 | 0.30 68 | 0.30 67 | 0.30 65 | 0.30 67 | 0.30 68 | 0.30 66 | 0.30 66 | 0.30 66 |
|
| LCM-MVSNet | | | 0.37 60 | 0.36 61 | 0.37 65 | 0.37 72 | 0.37 72 | 0.37 72 | 0.32 73 | 0.37 72 | 0.37 71 | 0.37 69 | 0.37 71 | 0.37 72 | 0.37 70 | 0.37 70 | 0.37 70 |
|
| v144192 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v1921920 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v1192 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v1144 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v148 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v7n | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v1240 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v8 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v10 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| v2v482 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| V42 | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| GA-MVS | | | 0.40 61 | 0.40 62 | 0.40 66 | 0.40 73 | 0.40 73 | 0.40 73 | 0.40 75 | 0.40 73 | 0.40 72 | 0.40 70 | 0.40 72 | 0.40 73 | 0.40 71 | 0.40 71 | 0.40 71 |
|
| Fast-Effi-MVS+ | | | 0.41 73 | 0.40 62 | 0.41 78 | 0.41 85 | 0.41 85 | 0.41 85 | 0.35 74 | 0.41 85 | 0.41 84 | 0.41 82 | 0.41 84 | 0.41 85 | 0.41 83 | 0.41 83 | 0.41 83 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 74 | 0.44 75 | 0.44 79 | 0.44 86 | 0.44 86 | 0.44 86 | 0.44 87 | 0.44 86 | 0.44 85 | 0.44 83 | 0.44 85 | 0.44 86 | 0.44 84 | 0.44 84 | 0.44 84 |
|
| Effi-MVS+ | | | 0.58 75 | 0.56 76 | 0.62 82 | 0.53 87 | 0.62 89 | 0.53 87 | 0.53 88 | 0.53 87 | 0.62 88 | 0.62 86 | 0.53 86 | 0.62 89 | 0.62 86 | 0.53 85 | 0.62 87 |
|
| Effi-MVS+-dtu | | | 0.59 76 | 0.61 78 | 0.53 80 | 0.68 94 | 0.53 87 | 0.53 87 | 0.68 95 | 0.68 94 | 0.53 86 | 0.53 84 | 0.68 93 | 0.53 87 | 0.68 92 | 0.53 85 | 0.53 85 |
|
| KD-MVS_self_test | | | 0.60 77 | 0.60 77 | 0.60 81 | 0.60 88 | 0.60 88 | 0.60 89 | 0.60 89 | 0.60 88 | 0.60 87 | 0.60 85 | 0.60 87 | 0.60 88 | 0.60 85 | 0.60 87 | 0.60 86 |
|
| EIA-MVS | | | 0.62 78 | 0.62 79 | 0.62 82 | 0.62 89 | 0.62 89 | 0.62 90 | 0.62 90 | 0.62 89 | 0.62 88 | 0.62 86 | 0.62 88 | 0.62 89 | 0.62 86 | 0.62 88 | 0.62 87 |
|
| ETV-MVS | | | 0.62 78 | 0.62 79 | 0.62 82 | 0.62 89 | 0.62 89 | 0.62 90 | 0.62 90 | 0.62 89 | 0.62 88 | 0.62 86 | 0.62 88 | 0.62 89 | 0.62 86 | 0.62 88 | 0.62 87 |
|
| CS-MVS | | | 0.62 78 | 0.62 79 | 0.62 82 | 0.62 89 | 0.62 89 | 0.62 90 | 0.62 90 | 0.62 89 | 0.62 88 | 0.62 86 | 0.62 88 | 0.62 89 | 0.62 86 | 0.62 88 | 0.62 87 |
|
| SPE-MVS-test | | | 0.62 78 | 0.62 79 | 0.62 82 | 0.62 89 | 0.62 89 | 0.62 90 | 0.62 90 | 0.62 89 | 0.62 88 | 0.62 86 | 0.62 88 | 0.62 89 | 0.62 86 | 0.62 88 | 0.62 87 |
|
| EC-MVSNet | | | 0.62 78 | 0.62 79 | 0.62 82 | 0.62 89 | 0.62 89 | 0.62 90 | 0.62 90 | 0.62 89 | 0.62 88 | 0.62 86 | 0.62 88 | 0.62 89 | 0.62 86 | 0.62 88 | 0.62 87 |
|
| CDS-MVSNet | | | 0.88 83 | 0.88 84 | 0.88 88 | 0.88 95 | 0.88 95 | 0.88 95 | 0.88 96 | 0.88 95 | 0.88 94 | 0.88 92 | 0.88 94 | 0.88 95 | 0.88 93 | 0.88 93 | 0.88 93 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 83 | 0.88 84 | 0.88 88 | 0.88 95 | 0.88 95 | 0.88 95 | 0.88 96 | 0.88 95 | 0.88 94 | 0.88 92 | 0.88 94 | 0.88 95 | 0.88 93 | 0.88 93 | 0.88 93 |
|
| LCM-MVSNet-Re | | | 0.89 85 | 0.89 86 | 0.89 90 | 0.89 97 | 0.89 97 | 0.89 97 | 0.89 98 | 0.89 97 | 0.89 96 | 0.89 94 | 0.89 96 | 0.89 97 | 0.89 95 | 0.89 95 | 0.89 95 |
|
| MDA-MVSNet-bldmvs | | | 1.20 86 | 1.20 87 | 1.20 92 | 1.20 99 | 1.20 100 | 1.20 98 | 1.20 101 | 1.20 99 | 1.20 98 | 1.20 96 | 1.20 98 | 1.20 99 | 1.20 97 | 1.20 97 | 1.20 97 |
|
| YYNet1 | | | 1.20 86 | 1.20 87 | 1.20 92 | 1.20 99 | 1.20 100 | 1.20 98 | 1.20 101 | 1.20 99 | 1.20 98 | 1.20 96 | 1.20 98 | 1.20 99 | 1.20 97 | 1.20 97 | 1.20 97 |
|
| MDA-MVSNet_test_wron | | | 1.20 86 | 1.20 87 | 1.20 92 | 1.20 99 | 1.20 100 | 1.20 98 | 1.20 101 | 1.20 99 | 1.20 98 | 1.20 96 | 1.20 98 | 1.20 99 | 1.20 97 | 1.20 97 | 1.20 97 |
|
| KD-MVS_2432*1600 | | | 1.30 89 | 1.30 90 | 1.30 95 | 1.30 102 | 1.30 103 | 1.30 101 | 1.30 104 | 1.30 102 | 1.30 101 | 1.30 99 | 1.30 101 | 1.30 102 | 1.30 100 | 1.30 100 | 1.30 100 |
|
| miper_refine_blended | | | 1.30 89 | 1.30 90 | 1.30 95 | 1.30 102 | 1.30 103 | 1.30 101 | 1.30 104 | 1.30 102 | 1.30 101 | 1.30 99 | 1.30 101 | 1.30 102 | 1.30 100 | 1.30 100 | 1.30 100 |
|
| EI-MVSNet-UG-set | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| EI-MVSNet-Vis-set | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| EI-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| Regformer | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| CVMVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| EU-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| PS-CasMVS | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| PEN-MVS | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| TransMVSNet (Re) | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| DTE-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| DU-MVS | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| UniMVSNet (Re) | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| CP-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| WR-MVS_H | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| WR-MVS | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| NR-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| Baseline_NR-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| MVSFormer | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| jason | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
| jason: jason. |
| lupinMVS | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| test_djsdf | | | 1.42 91 | 1.42 92 | 1.42 97 | 1.42 104 | 1.42 105 | 1.42 103 | 1.42 106 | 1.42 104 | 1.42 103 | 1.42 101 | 1.42 103 | 1.42 104 | 1.42 102 | 1.42 102 | 1.42 102 |
|
| reproduce_monomvs | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| mmtdpeth | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| reproduce_model | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| reproduce-ours | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| our_new_method | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| mmdepth | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| monomultidepth | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| mvs5depth | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| MVStest1 | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| ttmdpeth | | | 1.48 114 | 1.48 115 | 1.48 120 | 1.48 128 | 1.48 128 | 1.48 126 | 1.48 131 | 1.48 127 | 1.48 126 | 1.48 124 | 1.48 126 | 1.48 127 | 1.48 125 | 1.48 125 | 1.48 125 |
|
| alignmvs | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| nrg030 | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| LFMVS | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| VDD-MVS | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| VDDNet | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| VPNet | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| VNet | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| VPA-MVSNet | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| cascas | | | 2.00 124 | 2.00 125 | 2.00 130 | 2.00 138 | 2.00 138 | 2.00 136 | 2.00 141 | 2.00 137 | 2.00 136 | 2.00 134 | 2.00 136 | 2.00 137 | 2.00 135 | 2.00 135 | 2.00 135 |
|
| UnsupCasMVSNet_eth | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| UnsupCasMVSNet_bld | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| WTY-MVS | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| HY-MVS | | 5.90 1 | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| sss | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| Test_1112_low_res | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| 1112_ss | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| ab-mvs-re | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| ab-mvs | | | 5.90 133 | 5.90 134 | 5.90 139 | 5.90 147 | 5.90 147 | 5.90 146 | 5.90 153 | 5.90 147 | 5.90 145 | 5.90 143 | 5.90 147 | 5.90 146 | 5.90 144 | 5.90 147 | 5.90 147 |
|
| CDPH-MVS | | | 6.66 142 | 6.66 143 | 6.66 148 | 6.66 156 | 6.66 156 | 6.66 155 | 6.66 162 | 6.66 156 | 6.66 154 | 6.66 152 | 6.66 156 | 6.66 155 | 6.66 153 | 6.66 156 | 6.66 156 |
|
| xiu_mvs_v1_base_debu | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| xiu_mvs_v2_base | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| xiu_mvs_v1_base | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| xiu_mvs_v1_base_debi | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| cdsmvs_eth3d_5k | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| pcd_1.5k_mvsjas | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| PS-MVSNAJss | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| PS-MVSNAJ | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| jajsoiax | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| mvs_tets | | | 10.28 143 | 10.28 145 | 10.28 150 | 10.28 158 | 10.28 160 | 10.28 158 | 10.28 165 | 10.28 159 | 10.28 158 | 10.28 154 | 10.28 160 | 10.28 158 | 10.28 156 | 10.28 159 | 10.28 158 |
|
| SR-MVS-dyc-post | | | 11.55 153 | 11.55 155 | 11.55 162 | 11.55 169 | 11.55 171 | 11.55 168 | 11.55 177 | 11.55 169 | 11.55 169 | 11.55 164 | 11.55 171 | 11.55 168 | 11.55 166 | 11.55 169 | 11.55 168 |
|
| XXY-MVS | | | 15.00 154 | 15.00 156 | 15.00 163 | 15.00 170 | 15.00 173 | 15.00 169 | 15.00 179 | 15.00 170 | 15.00 171 | 15.00 165 | 15.00 175 | 15.00 170 | 15.00 168 | 15.00 171 | 15.00 170 |
|
| test_method | | | 18.29 155 | 20.89 157 | 10.50 160 | 15.00 170 | 13.00 172 | 55.00 175 | 3.00 151 | 34.00 172 | 11.50 168 | 32.50 166 | 5.00 146 | 13.50 169 | 27.00 170 | 5.00 146 | 5.00 146 |
|
| GeoE | | | 19.41 156 | 22.09 158 | 11.37 161 | 17.21 172 | 11.30 170 | 50.50 174 | 4.30 152 | 33.60 171 | 11.70 170 | 44.50 171 | 7.30 157 | 18.90 171 | 22.60 169 | 7.10 157 | 3.90 144 |
|
| BH-w/o | | | 40.00 157 | 40.00 159 | 40.00 165 | 40.00 173 | 40.00 174 | 40.00 170 | 40.00 198 | 40.00 173 | 40.00 173 | 40.00 167 | 40.00 192 | 40.00 173 | 40.00 171 | 40.00 185 | 40.00 181 |
|
| BH-untuned | | | 40.00 157 | 40.00 159 | 40.00 165 | 40.00 173 | 40.00 174 | 40.00 170 | 40.00 198 | 40.00 173 | 40.00 173 | 40.00 167 | 40.00 192 | 40.00 173 | 40.00 171 | 40.00 185 | 40.00 181 |
|
| BH-RMVSNet | | | 40.00 157 | 40.00 159 | 40.00 165 | 40.00 173 | 40.00 174 | 40.00 170 | 40.00 198 | 40.00 173 | 40.00 173 | 40.00 167 | 40.00 192 | 40.00 173 | 40.00 171 | 40.00 185 | 40.00 181 |
|
| TR-MVS | | | 40.00 157 | 40.00 159 | 40.00 165 | 40.00 173 | 40.00 174 | 40.00 170 | 40.00 198 | 40.00 173 | 40.00 173 | 40.00 167 | 40.00 192 | 40.00 173 | 40.00 171 | 40.00 185 | 40.00 181 |
|
| GBi-Net | | | 44.67 161 | 49.24 163 | 30.96 164 | 47.53 177 | 47.57 178 | 126.09 176 | 8.00 163 | 76.99 177 | 26.09 172 | 73.50 173 | 11.27 170 | 30.55 172 | 61.12 175 | 12.58 170 | 14.75 169 |
|
| dp | | | 87.20 162 | 113.80 166 | 7.42 149 | 10.50 168 | 8.88 157 | 298.82 183 | 2.70 150 | 510.35 202 | 7.79 155 | 172.93 176 | 3.37 145 | 9.16 156 | 14.00 167 | 3.71 145 | 4.23 145 |
|
| new_pmnet | | | 88.14 163 | 98.62 164 | 56.70 169 | 98.14 184 | 56.07 179 | 246.79 178 | 15.37 180 | 148.06 178 | 50.77 177 | 143.13 174 | 23.35 176 | 62.65 177 | 93.26 176 | 68.71 195 | 51.38 191 |
|
| N_pmnet | | | 88.14 163 | 98.62 164 | 56.70 169 | 98.14 184 | 56.07 179 | 246.79 178 | 15.37 180 | 148.06 178 | 50.77 177 | 143.13 174 | 23.35 176 | 62.65 177 | 93.26 176 | 68.71 195 | 51.38 191 |
|
| CANet | | | 110.62 165 | 124.04 167 | 70.34 172 | 82.03 181 | 74.27 184 | 325.54 184 | 25.25 183 | 207.16 180 | 69.28 182 | 194.38 177 | 27.53 178 | 95.79 186 | 147.76 180 | 37.43 175 | 40.97 185 |
|
| CANet_DTU | | | 110.62 165 | 124.04 167 | 70.34 172 | 82.03 181 | 74.27 184 | 325.54 184 | 25.25 183 | 207.16 180 | 69.28 182 | 194.38 177 | 27.53 178 | 95.79 186 | 147.76 180 | 37.43 175 | 40.97 185 |
|
| UGNet | | | 110.62 165 | 124.04 167 | 70.34 172 | 82.03 181 | 74.27 184 | 325.54 184 | 25.25 183 | 207.16 180 | 69.28 182 | 194.38 177 | 27.53 178 | 95.79 186 | 147.76 180 | 37.43 175 | 40.97 185 |
| 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 | | | 118.81 168 | 133.18 170 | 75.70 175 | 74.28 179 | 73.29 182 | 284.50 180 | 11.35 175 | 238.58 184 | 65.86 180 | 255.35 192 | 14.55 173 | 115.69 194 | 222.18 194 | 31.94 173 | 38.12 179 |
|
| FMVSNet5 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| test1 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| FMVSNet3 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| FMVSNet2 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| FMVSNet1 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| MIMVSNet1 | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| MIMVSNet | | | 124.76 169 | 140.93 171 | 76.26 177 | 107.44 187 | 100.17 191 | 329.88 187 | 27.12 189 | 259.44 189 | 74.30 185 | 204.34 180 | 30.74 181 | 92.41 179 | 196.98 183 | 38.15 178 | 36.19 172 |
|
| DSMNet-mixed | | | 131.33 176 | 143.00 178 | 96.33 187 | 99.00 186 | 81.00 187 | 201.00 177 | 45.00 203 | 335.00 196 | 99.00 195 | 251.00 191 | 38.00 191 | 110.00 193 | 120.00 179 | 99.00 201 | 98.00 197 |
|
| PVSNet_Blended_VisFu | | | 136.90 177 | 155.40 179 | 81.40 184 | 111.00 194 | 96.20 188 | 407.00 194 | 25.90 186 | 251.60 186 | 85.10 192 | 240.50 188 | 37.00 188 | 99.90 189 | 199.80 190 | 40.70 189 | 48.10 188 |
|
| PVSNet_BlendedMVS | | | 136.90 177 | 155.40 179 | 81.40 184 | 111.00 194 | 96.20 188 | 407.00 194 | 25.90 186 | 251.60 186 | 85.10 192 | 240.50 188 | 37.00 188 | 99.90 189 | 199.80 190 | 40.70 189 | 48.10 188 |
|
| PVSNet_Blended | | | 136.90 177 | 155.40 179 | 81.40 184 | 111.00 194 | 96.20 188 | 407.00 194 | 25.90 186 | 251.60 186 | 85.10 192 | 240.50 188 | 37.00 188 | 99.90 189 | 199.80 190 | 40.70 189 | 48.10 188 |
|
| BP-MVS1 | | | 202.65 180 | 232.15 182 | 114.16 188 | 183.40 198 | 141.78 198 | 655.87 202 | 24.69 182 | 372.56 197 | 109.76 196 | 356.89 194 | 47.15 196 | 139.51 196 | 284.15 196 | 54.86 192 | 61.20 193 |
|
| FE-MVS | | | 207.10 181 | 234.26 183 | 125.61 189 | 180.34 197 | 153.23 199 | 635.64 201 | 30.05 196 | 378.38 198 | 127.68 197 | 377.08 195 | 48.95 197 | 154.43 197 | 266.67 195 | 63.56 193 | 69.18 194 |
|
| GDP-MVS | | | 219.79 182 | 249.11 184 | 131.85 190 | 187.15 199 | 155.97 200 | 667.31 203 | 30.57 197 | 398.95 199 | 131.26 198 | 387.86 196 | 58.83 199 | 164.55 198 | 315.00 197 | 65.03 194 | 75.04 195 |
|
| FA-MVS(test-final) | | | 261.15 183 | 293.29 185 | 164.72 191 | 236.23 202 | 199.99 205 | 800.05 209 | 42.35 202 | 475.87 201 | 155.47 199 | 470.67 198 | 58.49 198 | 205.24 200 | 319.44 198 | 81.03 198 | 88.93 196 |
|
| DP-MVS | | | 264.78 184 | 296.02 186 | 171.04 193 | 191.70 200 | 183.96 202 | 827.10 210 | 78.36 214 | 438.24 200 | 176.64 201 | 435.12 197 | 65.04 201 | 230.52 203 | 334.02 199 | 117.96 209 | 98.64 198 |
|
| kuosan | | | 267.89 185 | 301.05 187 | 168.41 192 | 244.05 203 | 177.28 201 | 667.98 204 | 65.76 205 | 533.41 203 | 157.79 200 | 492.01 199 | 104.69 214 | 226.72 201 | 364.47 201 | 79.31 197 | 101.21 199 |
|
| WB-MVS | | | 316.44 186 | 357.41 188 | 193.51 195 | 257.06 204 | 213.32 208 | 914.45 212 | 49.03 204 | 600.77 209 | 186.42 203 | 634.00 211 | 75.03 204 | 251.35 205 | 411.39 202 | 88.55 199 | 115.87 201 |
|
| SSC-MVS | | | 320.23 187 | 364.09 189 | 188.66 194 | 260.78 205 | 193.84 203 | 975.93 218 | 73.11 210 | 596.72 208 | 185.29 202 | 589.02 205 | 74.47 203 | 246.01 204 | 427.42 205 | 94.06 200 | 126.12 202 |
|
| UWE-MVS-28 | | | 327.73 188 | 369.67 190 | 201.90 196 | 281.09 211 | 210.75 206 | 832.98 211 | 74.67 213 | 680.98 216 | 198.23 204 | 613.42 208 | 112.56 217 | 259.80 206 | 418.76 203 | 114.35 203 | 135.15 208 |
|
| testing91 | | | 347.05 189 | 389.92 191 | 218.43 198 | 275.92 209 | 241.43 210 | 923.71 214 | 71.70 206 | 667.65 214 | 217.04 208 | 629.00 209 | 113.33 218 | 281.39 208 | 495.50 208 | 115.45 205 | 132.47 205 |
|
| testing11 | | | 348.86 190 | 393.09 192 | 216.15 197 | 275.24 208 | 239.53 209 | 915.55 213 | 72.35 207 | 679.89 215 | 215.75 207 | 633.79 210 | 118.08 219 | 276.62 207 | 509.56 216 | 117.61 208 | 132.30 204 |
|
| dongtai | | | 360.45 191 | 401.64 193 | 236.89 201 | 303.10 212 | 262.16 216 | 963.12 215 | 72.78 208 | 622.82 212 | 199.37 205 | 708.06 214 | 130.96 222 | 310.90 211 | 506.46 215 | 108.11 202 | 137.60 209 |
|
| Syy-MVS | | | 370.76 192 | 415.60 195 | 236.25 200 | 310.54 213 | 210.76 207 | 965.13 216 | 98.58 229 | 746.06 221 | 266.26 215 | 788.85 221 | 91.37 208 | 364.76 219 | 357.17 200 | 116.42 206 | 133.22 206 |
|
| tmp_tt | | | 371.08 193 | 412.78 194 | 246.00 204 | 231.00 201 | 197.00 204 | 1293.00 237 | 376.00 278 | 756.00 223 | 609.00 256 | 71.00 172 | 106.00 215 | 195.00 199 | 102.00 178 | 171.00 226 | 346.00 252 |
|
| UWE-MVS | | | 387.98 194 | 438.66 197 | 235.93 199 | 349.32 218 | 257.61 214 | 1081.50 226 | 82.45 218 | 637.74 213 | 257.12 212 | 738.54 216 | 134.25 223 | 308.00 209 | 531.93 218 | 135.11 212 | 142.17 210 |
|
| myMVS_eth3d | | | 390.90 195 | 437.44 196 | 251.28 206 | 310.54 213 | 255.86 213 | 965.13 216 | 98.58 229 | 746.06 221 | 266.26 215 | 788.85 221 | 154.95 230 | 364.76 219 | 490.19 207 | 116.42 206 | 133.22 206 |
|
| RPSCF | | | 394.81 196 | 445.63 198 | 242.35 202 | 276.55 210 | 253.63 212 | 1207.27 234 | 90.69 223 | 715.56 217 | 241.57 211 | 684.87 212 | 111.96 216 | 320.02 213 | 548.38 220 | 133.81 211 | 153.39 214 |
|
| WB-MVSnew | | | 404.84 197 | 458.00 199 | 245.36 203 | 374.70 222 | 320.27 224 | 1193.74 233 | 72.90 209 | 773.77 224 | 238.30 209 | 688.22 213 | 90.05 207 | 308.59 210 | 532.76 219 | 157.54 220 | 107.21 200 |
|
| testing99 | | | 408.82 198 | 462.15 200 | 248.86 205 | 322.45 215 | 269.42 217 | 1118.93 229 | 73.26 211 | 719.36 219 | 262.28 213 | 772.10 218 | 150.98 229 | 327.08 214 | 601.98 224 | 137.99 213 | 150.07 212 |
|
| testing3 | | | 418.10 199 | 469.06 201 | 265.23 209 | 335.69 216 | 290.63 219 | 1240.88 235 | 93.72 224 | 717.99 218 | 215.31 206 | 811.97 227 | 232.41 261 | 358.74 217 | 458.67 206 | 114.88 204 | 146.32 211 |
|
| myMVS_eth3d28 | | | 418.40 200 | 473.07 202 | 254.39 207 | 261.18 206 | 313.04 220 | 1172.79 232 | 74.16 212 | 929.18 232 | 264.68 214 | 745.72 217 | 139.03 227 | 318.91 212 | 549.18 221 | 121.71 210 | 131.21 203 |
|
| testing222 | | | 430.52 201 | 487.50 205 | 259.56 208 | 379.87 226 | 282.69 218 | 1138.34 230 | 81.30 216 | 880.86 228 | 281.58 218 | 834.27 229 | 135.83 225 | 333.22 215 | 514.90 217 | 140.56 214 | 162.76 215 |
|
| EG-PatchMatch MVS | | | 437.03 202 | 493.12 206 | 268.77 210 | 264.80 207 | 260.20 215 | 1491.80 241 | 98.00 228 | 723.20 220 | 238.80 210 | 722.40 215 | 63.10 200 | 382.00 223 | 629.00 228 | 207.00 235 | 164.10 218 |
|
| ADS-MVSNet2 | | | 443.33 203 | 482.84 203 | 324.79 222 | 434.94 235 | 387.73 233 | 1110.57 227 | 87.69 220 | 887.02 229 | 282.92 219 | 779.29 219 | 98.57 212 | 422.76 231 | 502.40 209 | 162.19 224 | 163.87 216 |
|
| ADS-MVSNet | | | 443.33 203 | 482.84 203 | 324.79 222 | 434.94 235 | 387.73 233 | 1110.57 227 | 87.69 220 | 887.02 229 | 282.92 219 | 779.29 219 | 98.57 212 | 422.76 231 | 502.40 209 | 162.19 224 | 163.87 216 |
|
| ETVMVS | | | 443.50 205 | 498.07 207 | 279.78 211 | 378.05 225 | 321.57 225 | 1163.68 231 | 87.12 219 | 897.50 231 | 269.81 217 | 822.83 228 | 141.20 228 | 334.53 216 | 568.21 223 | 154.21 215 | 183.26 222 |
|
| MVP-Stereo | | | 473.58 206 | 533.67 208 | 293.33 213 | 376.00 223 | 318.00 221 | 1461.00 239 | 96.00 225 | 835.00 226 | 290.00 222 | 804.00 224 | 97.00 210 | 383.00 225 | 688.00 236 | 156.00 217 | 179.00 220 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 206 | 533.67 208 | 293.33 213 | 376.00 223 | 318.00 221 | 1461.00 239 | 96.00 225 | 835.00 226 | 290.00 222 | 804.00 224 | 97.00 210 | 383.00 225 | 688.00 236 | 156.00 217 | 179.00 220 |
|
| testing3-2 | | | 489.51 208 | 555.88 211 | 290.42 212 | 362.21 220 | 319.27 223 | 1424.84 238 | 88.81 222 | 964.80 233 | 309.62 225 | 879.13 231 | 174.38 237 | 363.98 218 | 643.82 232 | 155.29 216 | 188.01 223 |
|
| PatchmatchNet |  | | 492.52 209 | 551.22 210 | 316.40 220 | 400.20 231 | 357.90 231 | 1277.10 236 | 115.80 236 | 1034.60 242 | 315.90 226 | 874.00 230 | 155.10 231 | 402.20 228 | 629.50 229 | 158.80 221 | 189.10 224 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| tpmvs | | | 501.65 210 | 567.42 212 | 304.33 216 | 395.39 230 | 356.32 230 | 1512.04 242 | 216.53 265 | 994.15 235 | 350.16 231 | 804.16 226 | 119.38 220 | 380.98 222 | 555.14 222 | 159.87 222 | 175.69 219 |
|
| DELS-MVS | | | 514.57 211 | 587.73 214 | 295.12 215 | 343.03 217 | 328.09 228 | 1540.48 243 | 116.22 237 | 988.59 234 | 325.44 229 | 906.22 232 | 119.86 221 | 365.72 221 | 788.60 240 | 161.09 223 | 191.55 226 |
| 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 | | | 516.25 212 | 581.17 213 | 321.48 221 | 361.02 219 | 429.00 237 | 1995.36 249 | 78.48 215 | 796.20 225 | 283.32 221 | 796.02 223 | 96.78 209 | 382.98 224 | 636.72 230 | 186.66 232 | 152.46 213 |
|
| gg-mvs-nofinetune | | | 594.69 213 | 605.37 215 | 562.67 243 | 617.29 251 | 500.33 241 | 772.30 205 | 413.12 286 | 579.21 204 | 552.71 250 | 567.40 200 | 662.54 305 | 531.67 235 | 503.93 211 | 779.80 283 | 656.02 267 |
|
| SR-MVS | | | 610.10 214 | 610.10 216 | 610.10 248 | 610.10 245 | 610.10 258 | 610.10 199 | 610.10 310 | 610.10 210 | 610.10 257 | 610.10 206 | 610.10 293 | 610.10 251 | 610.10 225 | 610.10 266 | 610.10 264 |
|
| CR-MVSNet | | | 612.36 215 | 617.81 218 | 596.01 246 | 611.29 247 | 600.33 255 | 790.30 206 | 513.12 301 | 579.21 204 | 552.71 250 | 567.40 200 | 662.54 305 | 531.67 235 | 503.93 211 | 779.80 283 | 656.02 267 |
|
| IterMVS | | | 615.05 216 | 691.66 219 | 385.23 226 | 516.40 238 | 454.80 238 | 1863.80 247 | 102.10 233 | 1142.20 244 | 364.10 232 | 1093.20 246 | 135.00 224 | 480.40 234 | 826.90 241 | 181.20 229 | 220.50 230 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 217 | 700.96 220 | 362.78 224 | 426.10 234 | 409.25 235 | 1822.69 246 | 124.42 248 | 1186.23 245 | 366.85 233 | 1079.42 244 | 190.60 249 | 451.78 233 | 930.72 245 | 181.59 230 | 227.30 231 |
| 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 | | | 655.88 218 | 770.84 223 | 310.98 219 | 391.79 229 | 353.00 229 | 2280.68 251 | 99.17 232 | 1776.79 265 | 301.20 224 | 1123.23 247 | 187.34 247 | 390.28 227 | 620.39 227 | 156.98 219 | 189.66 225 |
|
| ACMH+ | | 729.97 2 | 661.38 219 | 754.00 221 | 383.51 225 | 368.96 221 | 376.38 232 | 2483.74 263 | 82.42 217 | 1089.25 243 | 333.39 230 | 1219.68 248 | 66.53 202 | 573.60 248 | 957.86 246 | 184.14 231 | 200.56 229 |
|
| SSC-MVS3.2 | | | 667.82 220 | 787.71 224 | 308.16 217 | 385.94 227 | 327.65 226 | 1718.51 244 | 117.00 238 | 1942.46 270 | 317.12 227 | 1488.73 261 | 183.89 238 | 404.82 229 | 763.70 238 | 172.02 227 | 192.01 227 |
|
| UBG | | | 667.82 220 | 787.71 224 | 308.16 217 | 385.94 227 | 327.65 226 | 1718.51 244 | 117.00 238 | 1942.46 270 | 317.12 227 | 1488.73 261 | 183.89 238 | 404.82 229 | 763.70 238 | 172.02 227 | 192.01 227 |
|
| Gipuma |  | | 689.75 222 | 767.00 222 | 458.00 235 | 613.00 250 | 549.00 253 | 1943.00 248 | 187.00 262 | 1230.00 246 | 518.00 247 | 1092.00 245 | 203.00 255 | 564.00 240 | 892.00 244 | 225.00 245 | 261.00 239 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| IterMVS-LS | | | 758.94 223 | 856.56 228 | 466.10 236 | 606.60 243 | 546.80 251 | 2309.90 252 | 122.20 247 | 1402.80 250 | 463.50 237 | 1348.20 250 | 192.60 250 | 574.60 249 | 1028.60 256 | 234.60 247 | 276.90 241 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| new-patchmatchnet | | | 766.12 224 | 859.03 229 | 487.38 239 | 595.68 240 | 536.14 243 | 2346.27 253 | 142.51 253 | 1488.08 252 | 422.43 234 | 1361.32 252 | 163.65 234 | 628.60 253 | 1003.74 255 | 207.61 236 | 297.41 245 |
|
| SixPastTwentyTwo | | | 773.62 225 | 869.37 231 | 486.35 238 | 603.45 242 | 547.15 252 | 2532.14 264 | 106.92 235 | 1434.95 251 | 428.08 235 | 1360.56 251 | 165.15 235 | 628.96 254 | 984.09 247 | 209.01 237 | 282.94 242 |
|
| mvs_anonymous | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
|
| casdiffmvs | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
| 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 | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
| 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 | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
|
| baseline1 | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
|
| casdiffmvs_mvg | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
| 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 | | | 774.90 226 | 882.28 232 | 452.77 228 | 636.50 252 | 537.20 244 | 2348.80 254 | 120.30 240 | 1504.30 253 | 474.40 238 | 1371.10 253 | 186.90 240 | 564.70 241 | 1078.90 258 | 219.30 238 | 256.40 232 |
|
| RPMNet | | | 787.26 233 | 829.13 226 | 661.63 252 | 885.90 267 | 895.90 275 | 455.98 197 | 610.10 310 | 1297.17 247 | 1002.26 279 | 1001.67 242 | 655.98 303 | 611.10 252 | 667.90 233 | 885.21 295 | 477.90 261 |
|
| JIA-IIPM | | | 804.30 234 | 835.64 227 | 710.26 257 | 885.90 267 | 895.90 275 | 455.98 197 | 668.73 315 | 1297.17 247 | 1002.26 279 | 1001.67 242 | 655.98 303 | 756.98 258 | 667.90 233 | 885.21 295 | 477.90 261 |
|
| CSCG | | | 826.03 235 | 963.29 240 | 414.24 227 | 421.52 233 | 426.11 236 | 2230.35 250 | 179.52 261 | 1827.44 266 | 733.43 267 | 933.12 234 | 281.25 263 | 545.23 239 | 1800.35 275 | 262.64 249 | 271.38 240 |
|
| PVSNet | | 1207.94 6 | 829.56 236 | 937.18 239 | 506.69 240 | 645.55 259 | 585.72 254 | 2477.98 262 | 130.52 249 | 1578.29 261 | 509.50 246 | 1460.01 260 | 194.90 251 | 637.19 255 | 1170.78 266 | 267.07 251 | 297.17 244 |
|
| PatchT | | | 856.34 237 | 860.99 230 | 842.38 262 | 1290.90 282 | 880.90 273 | 790.30 206 | 1267.30 333 | 579.21 204 | 923.90 269 | 567.40 200 | 662.54 305 | 990.23 266 | 887.56 243 | 779.80 283 | 656.02 267 |
|
| K. test v3 | | | 877.74 238 | 980.16 241 | 570.46 245 | 1316.85 284 | 813.15 270 | 2565.52 265 | 103.78 234 | 1509.49 260 | 548.33 249 | 1258.90 249 | 219.93 260 | 587.82 250 | 1102.37 265 | 196.30 233 | 310.42 247 |
|
| MVSTER | | | 890.06 239 | 1005.91 248 | 542.52 241 | 736.13 264 | 653.90 262 | 2616.56 266 | 145.22 255 | 1692.10 264 | 555.69 253 | 1554.72 264 | 266.25 262 | 660.02 256 | 1219.66 267 | 266.84 250 | 313.64 248 |
|
| PMVS | | 863.65 3 | 957.08 240 | 1054.11 249 | 666.00 254 | 401.00 232 | 495.00 240 | 3790.00 271 | 279.00 267 | 1607.00 263 | 521.00 248 | 1745.00 266 | 90.00 205 | 1105.00 277 | 639.00 231 | 415.00 262 | 398.00 259 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| ACMH | | 993.80 5 | 967.92 241 | 1106.11 251 | 553.33 242 | 494.00 237 | 534.00 242 | 3581.00 269 | 136.00 250 | 1585.00 262 | 478.00 245 | 1871.00 268 | 90.00 205 | 839.00 260 | 1460.00 269 | 260.00 248 | 287.00 243 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet_0 | | 1661.03 9 | 968.54 242 | 1066.82 250 | 673.70 255 | 706.94 262 | 695.69 263 | 2669.02 267 | 153.52 257 | 2108.17 273 | 605.54 255 | 1679.14 265 | 213.26 259 | 886.75 263 | 1236.76 268 | 229.01 246 | 438.67 260 |
|
| OurMVSNet-221017-0 | | | 999.00 243 | 999.00 242 | 999.00 263 | 999.00 272 | 999.00 277 | 999.00 219 | 999.00 326 | 999.00 236 | 999.00 272 | 999.00 235 | 999.00 318 | 999.00 268 | 999.00 248 | 999.00 302 | 999.00 299 |
|
| EPMVS | | | 999.00 243 | 999.00 242 | 999.00 263 | 999.00 272 | 999.00 277 | 999.00 219 | 999.00 326 | 999.00 236 | 999.00 272 | 999.00 235 | 999.00 318 | 999.00 268 | 999.00 248 | 999.00 302 | 999.00 299 |
|
| uanet_test | | | 1000.00 245 | 1000.00 244 | 1000.00 266 | 1000.00 275 | 1000.00 280 | 1000.00 222 | 1000.00 329 | 1000.00 238 | 1000.00 275 | 1000.00 238 | 1000.00 321 | 1000.00 271 | 1000.00 251 | 1000.00 305 | 1000.00 302 |
|
| sosnet | | | 1000.00 245 | 1000.00 244 | 1000.00 266 | 1000.00 275 | 1000.00 280 | 1000.00 222 | 1000.00 329 | 1000.00 238 | 1000.00 275 | 1000.00 238 | 1000.00 321 | 1000.00 271 | 1000.00 251 | 1000.00 305 | 1000.00 302 |
|
| USDC | | | 1000.00 245 | 1000.00 244 | 1000.00 266 | 1000.00 275 | 1000.00 280 | 1000.00 222 | 1000.00 329 | 1000.00 238 | 1000.00 275 | 1000.00 238 | 1000.00 321 | 1000.00 271 | 1000.00 251 | 1000.00 305 | 1000.00 302 |
|
| TinyColmap | | | 1000.00 245 | 1000.00 244 | 1000.00 266 | 1000.00 275 | 1000.00 280 | 1000.00 222 | 1000.00 329 | 1000.00 238 | 1000.00 275 | 1000.00 238 | 1000.00 321 | 1000.00 271 | 1000.00 251 | 1000.00 305 | 1000.00 302 |
|
| ACMP | | 1246.57 7 | 1086.24 249 | 1235.17 253 | 639.45 249 | 596.53 241 | 639.91 260 | 3904.24 272 | 152.04 256 | 1851.54 267 | 566.58 254 | 1997.95 270 | 138.50 226 | 938.30 264 | 1605.46 271 | 303.70 257 | 340.14 250 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| Patchmtry | | | 1090.75 250 | 1198.88 252 | 766.38 261 | 1290.90 282 | 485.90 239 | 2423.98 261 | 1267.30 333 | 1297.17 247 | 923.90 269 | 923.40 233 | 1215.54 326 | 990.23 266 | 667.90 233 | 779.80 283 | 823.02 281 |
|
| test_0402 | | | 1110.00 251 | 1260.00 254 | 660.00 251 | 900.00 270 | 780.00 269 | 3300.00 268 | 210.00 264 | 2040.00 272 | 690.00 262 | 1950.00 269 | 300.00 266 | 810.00 259 | 1620.00 272 | 330.00 258 | 390.00 258 |
|
| MVS_111021_LR | | | 1136.45 252 | 1298.72 255 | 649.64 250 | 756.17 265 | 726.26 266 | 3785.94 270 | 138.15 252 | 2190.64 274 | 629.63 260 | 2064.39 271 | 165.45 236 | 874.83 262 | 1678.43 274 | 279.70 252 | 347.82 253 |
|
| ACMM | | 1311.08 8 | 1165.06 253 | 1332.72 256 | 662.07 253 | 584.90 239 | 715.99 265 | 4373.59 276 | 153.99 258 | 1880.27 268 | 709.02 264 | 2316.97 272 | 188.63 248 | 939.89 265 | 1484.30 270 | 302.78 256 | 330.34 249 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 1242.93 254 | 1411.08 257 | 738.48 259 | 712.71 263 | 712.68 264 | 4168.17 274 | 136.50 251 | 2276.40 275 | 613.28 259 | 2368.60 275 | 161.61 233 | 1130.38 278 | 1964.54 278 | 297.88 254 | 372.39 255 |
|
| MG-MVS | | | 1256.50 255 | 1432.00 258 | 730.00 258 | 610.00 244 | 760.00 267 | 4720.00 277 | 169.00 259 | 1920.00 269 | 723.00 266 | 2510.00 278 | 201.00 253 | 1050.00 275 | 1645.00 273 | 390.00 261 | 380.00 256 |
|
| ACMMPR | | | 1296.60 256 | 1480.82 259 | 743.96 260 | 899.25 269 | 763.47 268 | 4305.47 275 | 143.90 254 | 2530.94 278 | 683.99 261 | 2346.34 274 | 201.65 254 | 1098.25 276 | 1920.59 277 | 295.21 253 | 370.16 254 |
|
| TSAR-MVS + GP. | | | 1386.84 257 | 1622.84 261 | 678.81 256 | 952.13 271 | 840.17 272 | 5358.21 280 | 170.75 260 | 2650.47 279 | 713.54 265 | 2394.28 276 | 209.42 258 | 855.56 261 | 1854.36 276 | 302.42 255 | 340.71 251 |
|
| FPMVS | | | 1407.00 258 | 1495.59 260 | 1141.23 271 | 648.01 260 | 893.85 274 | 4124.00 273 | 503.81 300 | 3219.04 281 | 742.72 268 | 2498.84 277 | 157.98 232 | 1727.83 284 | 832.93 242 | 732.98 282 | 802.00 276 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 259 | 1886.82 263 | 481.89 237 | 847.73 266 | 830.16 271 | 7943.84 296 | 189.23 263 | 2398.83 276 | 691.73 263 | 2341.13 273 | 209.16 257 | 230.25 202 | 1999.25 279 | 360.46 259 | 385.25 257 |
| 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 | 1658.33 260 | 1869.33 262 | 1025.33 270 | 1030.00 279 | 1023.00 284 | 5311.00 279 | 359.00 276 | 3044.00 280 | 937.00 271 | 2892.00 279 | 332.00 270 | 1440.00 281 | 2312.00 281 | 607.00 265 | 613.00 266 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| F-COLMAP | | | 1878.17 261 | 2113.11 264 | 1173.33 274 | 1231.00 280 | 1174.00 285 | 6297.00 282 | 392.00 281 | 3356.00 283 | 1087.00 281 | 3082.00 280 | 361.00 274 | 1670.00 283 | 2523.00 283 | 689.00 272 | 676.00 271 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 262 | 2224.88 266 | 1163.39 273 | 1253.91 281 | 1434.22 288 | 7065.71 286 | 272.76 266 | 2472.29 277 | 1647.54 311 | 3538.72 283 | 200.37 252 | 1496.48 282 | 2575.17 284 | 997.45 301 | 559.48 263 |
|
| CMPMVS |  | 2623.62 15 | 1983.08 263 | 2156.14 265 | 1463.89 284 | 1414.80 286 | 1517.00 290 | 5239.20 278 | 867.40 320 | 3310.30 282 | 1128.70 283 | 3489.90 282 | 366.75 275 | 2030.20 295 | 2427.60 282 | 1160.60 314 | 844.46 284 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| MVS-HIRNet | | | 2125.39 264 | 2452.68 267 | 1143.53 272 | 2938.33 327 | 1446.92 289 | 6083.19 281 | 391.74 280 | 3801.71 286 | 1202.10 285 | 3439.72 281 | 492.73 284 | 1304.35 280 | 3048.25 288 | 676.32 271 | 679.32 272 |
|
| PLC | | 2858.82 16 | 2192.92 265 | 2474.00 268 | 1349.67 276 | 1407.00 285 | 1356.00 287 | 7164.00 287 | 475.00 293 | 3970.00 287 | 1237.00 288 | 3765.00 286 | 451.00 281 | 1891.00 289 | 3006.00 287 | 791.00 288 | 802.00 276 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| OpenMVS | | 2352.88 13 | 2263.08 266 | 2530.89 269 | 1459.67 283 | 1767.00 297 | 1591.00 293 | 7932.00 295 | 399.00 282 | 3643.00 284 | 1176.00 284 | 3569.00 284 | 297.00 265 | 1927.00 291 | 3302.00 289 | 693.00 277 | 861.00 285 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 267 | 2597.03 270 | 1297.84 275 | 1701.20 289 | 1332.37 286 | 8105.11 297 | 451.45 289 | 4031.84 288 | 1099.10 282 | 3966.50 287 | 467.45 282 | 1734.05 285 | 2701.68 286 | 848.94 292 | 827.11 282 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 268 | 2643.03 271 | 1434.14 277 | 2025.55 306 | 1629.36 297 | 6542.40 283 | 412.49 283 | 4219.70 290 | 1547.02 299 | 4328.52 289 | 650.74 300 | 1798.26 286 | 3333.17 290 | 727.72 279 | 874.79 286 |
|
| CHOSEN 1792x2688 | | | 2340.81 268 | 2643.03 271 | 1434.14 277 | 2025.55 306 | 1629.36 297 | 6542.40 283 | 412.49 283 | 4219.70 290 | 1547.02 299 | 4328.52 289 | 650.74 300 | 1798.26 286 | 3333.17 290 | 727.72 279 | 874.79 286 |
|
| HyFIR lowres test | | | 2340.81 268 | 2643.03 271 | 1434.14 277 | 2025.55 306 | 1629.36 297 | 6542.40 283 | 412.49 283 | 4219.70 290 | 1547.02 299 | 4328.52 289 | 650.74 300 | 1798.26 286 | 3333.17 290 | 727.72 279 | 874.79 286 |
|
| 3Dnovator | | 2482.06 14 | 2531.17 271 | 2839.56 274 | 1606.00 285 | 1732.00 293 | 1557.00 292 | 8375.00 299 | 483.00 294 | 4370.00 293 | 1371.00 294 | 4200.00 288 | 350.00 272 | 2207.00 296 | 3877.00 296 | 798.00 289 | 1054.00 306 |
|
| tpmrst | | | 2557.50 272 | 2847.12 275 | 1688.66 288 | 1784.08 298 | 1778.25 307 | 7445.50 293 | 342.14 273 | 4471.54 294 | 1534.55 298 | 4382.10 292 | 530.10 288 | 2361.21 299 | 4142.81 300 | 991.22 300 | 926.51 291 |
|
| AdaColmap | | | 2570.77 273 | 2948.61 276 | 1437.24 280 | 1873.64 299 | 1526.60 291 | 7819.77 294 | 373.97 277 | 4970.45 297 | 1479.29 296 | 4648.46 294 | 525.80 287 | 1904.97 290 | 4150.42 301 | 695.69 278 | 880.14 289 |
|
| SD-MVS | | | 2654.53 274 | 3055.56 279 | 1451.45 281 | 1725.60 290 | 1598.35 294 | 9203.30 303 | 315.86 270 | 5016.02 299 | 1363.85 291 | 4894.28 297 | 387.23 276 | 2023.43 292 | 3973.88 297 | 620.04 268 | 732.56 273 |
| 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 | 2670.71 275 | 3021.57 277 | 1618.12 286 | 2377.67 313 | 1751.39 306 | 8915.70 302 | 567.44 308 | 4569.74 295 | 1236.84 287 | 4615.63 293 | 513.23 285 | 2291.32 297 | 3515.48 293 | 882.39 294 | 811.66 278 |
|
| LF4IMVS | | | 2699.50 276 | 3049.67 278 | 1649.00 287 | 1755.00 294 | 1689.00 301 | 8330.00 298 | 464.00 291 | 4997.00 298 | 1528.00 297 | 4763.00 296 | 568.00 291 | 2296.00 298 | 4215.00 302 | 827.00 291 | 962.00 296 |
|
| EGC-MVSNET | | | 2819.75 277 | 3096.89 280 | 1988.33 298 | 3105.00 328 | 2241.00 318 | 9480.00 307 | 640.00 314 | 4209.00 289 | 1583.00 304 | 4740.00 295 | 547.00 290 | 2797.00 311 | 2644.00 285 | 924.00 298 | 927.00 292 |
|
| Vis-MVSNet | | | 2877.42 278 | 3170.00 281 | 1999.67 299 | 1673.00 288 | 2042.00 316 | 8593.00 300 | 474.00 292 | 6452.00 312 | 1268.00 289 | 5125.00 300 | 339.00 271 | 3004.00 313 | 4222.00 303 | 384.00 260 | 953.00 295 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| SteuartSystems-ACMMP | | | 2891.50 279 | 3284.78 282 | 1711.67 289 | 1954.00 300 | 1655.00 300 | 10117.00 316 | 445.00 288 | 5102.00 302 | 1375.00 295 | 5126.00 301 | 351.00 273 | 2638.00 309 | 4402.00 304 | 691.00 275 | 842.00 283 |
| Skip Steuart: Steuart Systems R&D Blog. |
| 3Dnovator+ | | 3414.41 17 | 3146.67 280 | 3537.00 283 | 1975.67 296 | 2310.00 311 | 2005.00 315 | 10100.00 315 | 626.00 313 | 5753.00 303 | 1803.00 314 | 5179.00 302 | 487.00 283 | 2622.00 307 | 4550.00 305 | 1025.00 309 | 1300.00 313 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 281 | 3601.83 284 | 1814.72 294 | 2515.52 316 | 1941.53 311 | 10432.50 317 | 589.42 309 | 4789.45 296 | 1298.65 290 | 7677.31 318 | 578.35 292 | 2589.53 303 | 3611.78 295 | 923.52 297 | 913.10 290 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DPM-MVS | | | 3268.00 282 | 3762.89 285 | 1783.33 292 | 1756.00 295 | 1806.00 308 | 12319.00 319 | 307.00 268 | 6319.00 310 | 1557.00 302 | 5763.00 303 | 302.00 267 | 2609.00 305 | 5061.00 308 | 482.00 263 | 935.00 293 |
|
| OPM-MVS | | | 3268.00 282 | 3762.89 285 | 1783.33 292 | 1756.00 295 | 1806.00 308 | 12319.00 319 | 307.00 268 | 6319.00 310 | 1557.00 302 | 5763.00 303 | 302.00 267 | 2609.00 305 | 5061.00 308 | 482.00 263 | 935.00 293 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| TAPA-MVS | | 6309.84 21 | 3374.90 284 | 3806.99 287 | 2078.63 301 | 2535.47 317 | 2499.25 326 | 8816.16 301 | 456.05 290 | 6255.60 309 | 1664.52 312 | 6704.88 308 | 629.95 298 | 2768.38 310 | 6343.93 322 | 856.35 293 | 968.25 297 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 285 | 4065.89 292 | 1914.35 295 | 2349.10 312 | 2141.30 317 | 12362.70 321 | 417.60 287 | 6717.80 316 | 1759.40 313 | 6497.50 306 | 518.18 286 | 2629.38 308 | 5164.32 310 | 806.40 290 | 972.38 298 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| tpm2 | | | 3617.85 286 | 4007.23 288 | 2449.73 306 | 2012.71 302 | 1698.05 302 | 7351.19 289 | 869.29 321 | 6132.06 305 | 1588.28 305 | 8007.42 321 | 1281.09 327 | 3888.11 325 | 7472.04 326 | 1351.00 316 | 1763.02 322 |
|
| tpm cat1 | | | 3617.85 286 | 4007.23 288 | 2449.73 306 | 2012.71 302 | 1698.05 302 | 7351.19 289 | 869.29 321 | 6132.06 305 | 1588.28 305 | 8007.42 321 | 1281.09 327 | 3888.11 325 | 7472.04 326 | 1351.00 316 | 1763.02 322 |
|
| CostFormer | | | 3617.85 286 | 4007.23 288 | 2449.73 306 | 2012.71 302 | 1698.05 302 | 7351.19 289 | 869.29 321 | 6132.06 305 | 1588.28 305 | 8007.42 321 | 1281.09 327 | 3888.11 325 | 7472.04 326 | 1351.00 316 | 1763.02 322 |
|
| tpm | | | 3617.85 286 | 4007.23 288 | 2449.73 306 | 2012.71 302 | 1698.05 302 | 7351.19 289 | 869.29 321 | 6132.06 305 | 1588.28 305 | 8007.42 321 | 1281.09 327 | 3888.11 325 | 7472.04 326 | 1351.00 316 | 1763.02 322 |
|
| MVS_111021_HR | | | 3742.80 290 | 4330.34 293 | 1980.20 297 | 2484.31 315 | 2259.52 319 | 14973.80 326 | 515.90 307 | 6500.13 313 | 1949.21 316 | 6146.89 305 | 535.66 289 | 2593.66 304 | 4880.76 307 | 986.37 299 | 1087.43 307 |
|
| MAR-MVS | | | 3973.16 291 | 4387.92 294 | 2728.86 312 | 3345.27 329 | 3341.39 333 | 11403.90 318 | 798.76 318 | 6555.62 315 | 2569.29 326 | 6514.86 307 | 834.97 312 | 3237.43 322 | 5891.08 313 | 1577.54 321 | 1607.76 314 |
| 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++ | | | 3981.10 292 | 4731.32 297 | 1730.42 290 | 2191.51 309 | 1949.98 312 | 16473.90 328 | 355.33 274 | 7172.90 321 | 1622.98 309 | 7879.79 319 | 434.33 279 | 2428.11 301 | 5762.12 311 | 689.04 273 | 813.18 279 |
|
| DVP-MVS | | | 3981.10 292 | 4731.32 297 | 1730.42 290 | 2191.51 309 | 1949.98 312 | 16473.90 328 | 355.33 274 | 7172.90 321 | 1622.98 309 | 7879.79 319 | 434.33 279 | 2428.11 301 | 5762.12 311 | 689.04 273 | 813.18 279 |
| 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 | | | 4000.00 294 | 4533.33 295 | 2400.00 305 | 2400.00 314 | 2400.00 320 | 7200.00 288 | 2400.00 337 | 7200.00 323 | 2400.00 325 | 7200.00 313 | 2400.00 331 | 2400.00 300 | 7200.00 324 | 2400.00 328 | 2400.00 327 |
|
| SED-MVS | | | 4062.74 295 | 4671.13 296 | 2237.56 302 | 2643.17 318 | 2465.14 321 | 13996.40 323 | 493.26 295 | 7619.38 324 | 2107.24 317 | 7416.93 315 | 610.24 295 | 3088.29 318 | 6075.14 318 | 1078.39 310 | 1159.26 308 |
|
| MSP-MVS | | | 4296.20 296 | 4911.12 300 | 2451.45 310 | 2725.60 323 | 2598.35 327 | 16203.30 327 | 515.86 303 | 7016.02 317 | 2363.85 321 | 6894.28 309 | 887.23 313 | 3023.43 314 | 5973.88 314 | 1620.04 322 | 1732.56 318 |
| 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 | | | 4380.83 297 | 4906.56 299 | 2803.67 313 | 3844.00 330 | 3116.00 332 | 13454.00 322 | 901.00 325 | 6511.00 314 | 2794.00 327 | 7365.00 314 | 754.00 309 | 3634.00 323 | 6622.00 323 | 1914.00 327 | 1661.00 317 |
|
| OMC-MVS | | | 5022.26 298 | 5748.82 301 | 2842.58 314 | 4905.27 332 | 3101.27 331 | 14933.60 325 | 812.24 319 | 9278.40 328 | 2959.29 328 | 8800.17 325 | 1092.24 325 | 3806.30 324 | 7568.54 330 | 1389.60 320 | 1620.18 316 |
|
| CLD-MVS | | | 7338.25 299 | 8341.00 302 | 4330.00 315 | 4902.00 331 | 4991.00 334 | 23318.00 331 | 728.00 317 | 14437.00 338 | 4378.00 330 | 13379.00 333 | 824.00 311 | 5708.00 329 | 11429.00 339 | 1674.00 326 | 2291.00 326 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 300 | 8776.23 303 | 4410.16 316 | 5298.55 333 | 5631.53 335 | 34329.90 333 | 1504.57 335 | 11554.00 337 | 3896.41 329 | 15111.00 334 | 812.19 310 | 5985.63 330 | 3516.20 294 | 2963.23 329 | 1613.31 315 |
|
| ZNCC-MVS | | | 9999.00 301 | 9999.00 304 | 9999.00 318 | 9999.00 336 | 9999.00 338 | 9999.00 308 | 9999.00 341 | 9999.00 329 | 9999.00 333 | 9999.00 326 | 9999.00 334 | 9999.00 331 | 9999.00 331 | 9999.00 332 | 9999.00 330 |
|
| patch_mono-2 | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| dcpmvs_2 | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| DCPMVS | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| UA-Net | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| uncertanet | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| uanet | | | 10000.00 302 | 10000.00 305 | 10000.00 319 | 10000.00 337 | 10000.00 339 | 10000.00 309 | 10000.00 342 | 10000.00 330 | 10000.00 334 | 10000.00 327 | 10000.00 335 | 10000.00 332 | 10000.00 332 | 10000.00 333 | 10000.00 331 |
|
| MVE | | 10021.00 22 | 10550.67 308 | 10002.44 311 | 12195.33 325 | 6242.00 334 | 8768.00 337 | 30896.00 332 | 4451.00 338 | 10331.00 336 | 6247.00 331 | 18296.00 335 | 283.00 264 | 21484.00 339 | 7364.00 325 | 5912.00 331 | 6334.00 329 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 309 | 11772.44 312 | 7637.33 317 | 9120.00 335 | 8206.00 336 | 22252.00 330 | 2010.00 336 | 24984.00 339 | 7458.00 332 | 22596.00 336 | 2940.00 332 | 10260.00 338 | 11100.00 338 | 3492.00 330 | 4446.00 328 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 310 | 22805.00 313 | 25097.33 326 | 15500.00 343 | 19201.00 345 | 42712.00 334 | 6055.00 339 | 38388.00 340 | 16926.00 340 | 38534.00 337 | 7071.00 333 | 35653.00 340 | 29475.00 340 | 10584.00 339 | 20438.00 338 |
| 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 | | | 32606.17 311 | 34443.44 314 | 27094.33 327 | 29249.00 344 | 25246.00 346 | 51144.00 335 | 6705.00 340 | 42886.00 341 | 22888.00 341 | 48534.00 338 | 13263.00 341 | 37507.00 341 | 79298.00 341 | 16024.00 340 | 18530.00 337 |
|
| 114514_t | | | 99999.00 312 | 99999.00 315 | 99999.00 328 | 99999.00 345 | 99999.00 347 | 99999.00 336 | 99999.00 348 | 99999.00 342 | 99999.00 342 | 99999.00 339 | 99999.00 342 | 99999.00 342 | 99999.00 342 | 99999.00 341 | 99999.00 339 |
|
| PHI-MVS | | | 99999.00 312 | 99999.00 315 | 99999.00 328 | 99999.00 345 | 99999.00 347 | 99999.00 336 | 99999.00 348 | 99999.00 342 | 99999.00 342 | 99999.00 339 | 99999.00 342 | 99999.00 342 | 99999.00 342 | 99999.00 341 | 99999.00 339 |
|
| MP-MVS-pluss | | | 833433.63 314 | 1111219.60 320 | 75.70 175 | 74.28 179 | 73.29 182 | 284.50 180 | 11.35 175 | 238.58 184 | 65.86 180 | 255.35 192 | 14.55 173 | 115.69 194 | 10000000.00 347 | 31.94 173 | 38.12 179 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MTAPA | | | 833442.10 315 | 1111233.77 321 | 67.09 171 | 65.59 178 | 64.81 181 | 284.50 180 | 10000000.00 353 | 219.97 183 | 59.62 179 | 229.89 187 | 12.72 172 | 103.00 192 | 203.67 193 | 27.93 172 | 33.46 171 |
|
| XVG-OURS-SEG-HR | | | 999999.00 316 | 999999.00 317 | 999999.00 330 | 999999.00 347 | 999999.00 349 | 999999.00 338 | 999999.00 350 | 999999.00 344 | 999999.00 344 | 999999.00 341 | 999999.00 344 | 999999.00 344 | 999999.00 344 | 999999.00 343 | 999999.00 341 |
|
| XVG-OURS | | | 999999.00 316 | 999999.00 317 | 999999.00 330 | 999999.00 347 | 999999.00 349 | 999999.00 338 | 999999.00 350 | 999999.00 344 | 999999.00 344 | 999999.00 341 | 999999.00 344 | 999999.00 344 | 999999.00 344 | 999999.00 343 | 999999.00 341 |
|
| XVG-ACMP-BASELINE | | | 999999.00 316 | 999999.00 317 | 999999.00 330 | 999999.00 347 | 999999.00 349 | 999999.00 338 | 999999.00 350 | 999999.00 344 | 999999.00 344 | 999999.00 341 | 999999.00 344 | 999999.00 344 | 999999.00 344 | 999999.00 343 | 999999.00 341 |
|
| mamba_0408 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| icg_test_0407_2 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SSM_04072 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SSM_0407 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| IMVS_0407 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| IMVS_0404 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SSM_0404 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| IMVS_0403 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SD_0403 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| NormalMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| lecture | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SymmetryMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Elysia | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| StellarMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| KinetiMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| LuminaMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| VortexMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| AstraMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| guyue | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| sc_t1 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tt0320-xc | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tt0320 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MVSMamba_PlusPlus | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MGCFI-Net | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| sasdasda | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| dmvs_re | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SDMVSNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| dmvs_testset | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| sd_testset | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| balanced_conf03 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MonoMVSNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test2506 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test1111 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| ECVR-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test_blank | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tt0805 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Anonymous20240521 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| cl22 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| miper_ehance_all_eth | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| miper_enhance_ethall | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| cl____ | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| DIV-MVS_self_test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| eth_miper_zixun_eth | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| UniMVSNet_ETH3D | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| miper_lstm_enhance | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| D2MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test_yl | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| thisisatest0530 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Anonymous20240529 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Anonymous202405211 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| DCV-MVSNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tttt0517 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| our_test_3 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| thisisatest0515 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| ppachtmachnet_test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SMA-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| 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 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tfpnnormal | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| tfpn200view9 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| c3_l | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| IterMVS-SCA-FT | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pmmvs6 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pmmvs5 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Anonymous20231211 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pmmvs-eth3d | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Anonymous20231206 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| SCA | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Patchmatch-test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Patchmatch-RL test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| canonicalmvs | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| anonymousdsp | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| FIs | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| FC-MVSNet-test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| sosnet-low-res | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| AllTest | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| RRT-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| mamv4 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| HPM-MVS++ | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| XVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pm-mvs1 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| X-MVStestdata | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| APDe-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pmmvs4 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test-LLR | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| TESTMET0.1,1 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test-mter | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| testgi | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test20.03 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| thres600view7 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MP-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| thres400 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test123 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| thres200 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test0.0.03 1 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| pmmvs3 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| EMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| E-PMN | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PGM-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MCST-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| MVS_Test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PMMVS2 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PM-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| HQP_MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| mPP-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| mvsmamba | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| HPM-MVS_fast | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| HPM-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| EPNet_dtu | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CNVR-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| NCCC | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| CP-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| CPTT-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| HQP-MVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| IS-MVSNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PAPM_NR | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PAPR | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PatchMatch-RL | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| TDRefinement | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| EPP-MVSNet | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PMMVS | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| PAPM | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| ACMMP | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
| 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 | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| wuyk23d | | | 10000000.00 319 | 10000000.00 322 | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | 10000000.00 341 | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| APD-MVS | | | 1000000000.00 450 | 1000000000.00 453 | 1000000000.00 466 | 1000000000.00 491 | 1000000000.00 491 | 1000000000.00 477 | 1000000000.00 491 | 1000000000.00 484 | 1000000000.00 485 | 1000000000.00 482 | 1000000000.00 487 | 1000000000.00 485 | 1000000000.00 484 | 1000000000.00 483 | 1000000000.00 481 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 211 | | | | | | | | 422.23 204 | | |
|
| FOURS1 | | | | | | 2643.17 318 | 2465.14 321 | 13996.40 323 | 493.26 295 | 7619.38 324 | 2107.24 317 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 302 | 2643.17 318 | 2465.14 321 | | 493.26 295 | | | | | 3088.29 318 | 6075.14 318 | 1078.39 310 | 1159.26 308 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 324 | 2107.24 317 | 7416.93 315 | 610.24 295 | 3088.29 318 | 6075.14 318 | 1078.39 310 | 1159.26 308 |
|
| No_MVS | | | | | 2237.56 302 | 2643.17 318 | 2465.14 321 | | 493.26 295 | | | | | 3088.29 318 | 6075.14 318 | 1078.39 310 | 1159.26 308 |
|
| test_one_0601 | | | | | | 2643.17 318 | 2465.14 321 | | 493.26 295 | 7619.38 324 | 2107.24 317 | 7416.93 315 | 610.24 295 | | | | |
|
| eth-test2 | | | | | | 1.42 104 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 350 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 1584.00 287 | 1821.00 310 | | 378.00 279 | 3721.00 285 | 1231.00 286 | 1833.00 267 | 321.00 269 | 1224.00 279 | 2103.00 280 | 692.00 276 | |
|
| RE-MVS-def | | | | 610.10 216 | | 610.10 245 | 610.10 258 | 610.10 199 | 610.10 310 | 610.10 210 | 610.10 257 | 610.10 206 | 610.10 293 | | 610.10 225 | 610.10 266 | 610.10 264 |
|
| IU-MVS | | | | | | 2725.60 323 | 2598.35 327 | | 515.86 303 | 7016.02 317 | 2363.85 321 | | | | 5973.88 314 | 1620.04 322 | 1732.56 318 |
|
| OPU-MVS | | | | | 2451.45 310 | 2725.60 323 | 2598.35 327 | 9203.30 303 | | | | 6894.28 309 | 887.23 313 | 3023.43 314 | 5973.88 314 | 1620.04 322 | 1732.56 318 |
|
| test_241102_TWO | | | | | | | | | 515.86 303 | 7016.02 317 | 2363.85 321 | 6894.28 309 | 887.23 313 | 3023.43 314 | 5973.88 314 | 1620.04 322 | 1732.56 318 |
|
| test_241102_ONE | | | | | | 2725.60 323 | 2598.35 327 | | 515.86 303 | 7016.02 317 | 2363.85 321 | 6894.28 309 | 887.23 313 | 3023.43 314 | | | |
|
| 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 | | | | | | | | | | 5016.02 299 | 1363.85 291 | 4894.28 297 | 387.23 276 | 2023.43 292 | 3973.88 297 | 620.04 268 | 732.56 273 |
|
| test_0728_SECOND | | | | | 1451.45 281 | 1725.60 290 | 1598.35 294 | 9203.30 303 | 315.86 270 | | | | | 2023.43 292 | 3973.88 297 | 620.04 268 | 732.56 273 |
|
| test0726 | | | | | | 1725.60 290 | 1598.35 294 | 9203.30 303 | 315.86 270 | 5016.02 299 | 1363.85 291 | 4894.28 297 | 387.23 276 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 344 |
|
| test_part2 | | | | | | 10000000.00 350 | 10000000.00 352 | | | | 10000000.00 347 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 347 | | | | 10000000.00 344 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 347 | | | | |
|
| ambc | | | | | 999.00 263 | 999.00 272 | 999.00 277 | 999.00 219 | 999.00 326 | | 999.00 272 | 999.00 235 | 999.00 318 | 999.00 268 | 999.00 248 | 999.00 302 | 999.00 299 |
|
| MTGPA | | | | | | | | | 10000000.00 353 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 341 | | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | | | |
|
| GG-mvs-BLEND | | | | | 596.01 246 | 611.29 247 | 600.33 255 | 790.30 206 | 513.12 301 | | 552.71 250 | 567.40 200 | 662.54 305 | 531.67 235 | 503.93 211 | 779.80 283 | 656.02 267 |
|
| MTMP | | | | | | | | 10000000.00 341 | 10000000.00 353 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 247 | 600.33 255 | | | 579.21 204 | | 567.40 200 | | 531.67 235 | 503.93 211 | | |
|
| 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 | | | | | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| 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 | | | | | | 10000000.00 350 | 10000000.00 352 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 350 | 10000000.00 352 | | | | | | 10000000.00 347 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 353 | | | | | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 344 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 352 | | | 10000000.00 347 | 10000000.00 347 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 341 | | 10000000.00 347 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 350 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 98 | 2.00 136 | | 2.00 137 | | | | | | 2.00 135 | |
|
| n2 | | | | | | | | | 14.20 178 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 106 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 106 | | | | | | | | |
|
| lessismore_v0 | | | | | 569.20 244 | 667.25 261 | 644.68 261 | | 96.45 227 | | 428.86 236 | 1514.17 263 | 204.21 256 | 756.58 257 | 1061.60 257 | 197.79 234 | 306.34 246 |
|
| LGP-MVS_train | | | | | 10000000.00 333 | 10000000.00 350 | 10000000.00 352 | | 10000000.00 353 | 10000000.00 347 | 10000000.00 347 | 10000000.00 344 | 10000000.00 347 | 10000000.00 347 | 10000000.00 347 | 10000000.00 346 | 10000000.00 344 |
|
| test11 | | | | | | | | | 1.00 99 | | | | | | | | |
|
| door | | | | | | | | | 99.00 231 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 352 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 350 | | 10000000.00 341 | | 10000000.00 347 | 10000000.00 347 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 350 | | 10000000.00 341 | | 10000000.00 347 | 10000000.00 347 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 347 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 347 | | | 10000000.00 347 | | | 10000000.00 344 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 353 | | | | | | | 10000000.00 346 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 347 | | | | |
|
| NP-MVS | | | | | | 10000000.00 350 | 10000000.00 352 | | | | | 10000000.00 344 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 158 | 9.99 156 | | 9.99 157 | 9.99 156 | | 9.99 158 | | 9.99 154 | | 9.99 157 |
|
| MDTV_nov1_ep13 | | | | 9.99 144 | | 9.99 157 | 9.99 158 | 9.99 156 | 9.99 164 | 9.99 157 | 9.99 156 | 9.99 153 | 9.99 158 | 9.99 157 | 9.99 154 | 9.99 158 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 346 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 346 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 317 | | | | |
|
| ITE_SJBPF | | | | | 2014.00 300 | 1998.00 301 | 1992.00 314 | | 701.00 316 | 5989.00 304 | 1812.00 315 | 3612.00 285 | 650.00 299 | 2852.00 312 | 4601.00 306 | 1195.00 315 | 1198.00 312 |
|
| DeepMVS_CX | | | | | 1.00 91 | 1.00 98 | 1.00 98 | | 1.00 99 | 1.00 98 | 1.00 97 | 1.00 95 | 1.00 97 | 1.00 98 | 1.00 96 | 1.00 96 | 1.00 96 |
|
