| 0.4-1-1-0.2 | | | 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 |
|
| wanda-best-256-512 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_dtu_shiyan2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_dtu_shiyan1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blended_shiyan8 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E5new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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-blended-shiyan7 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E6new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blended_shiyan6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| usedtu_blend_shiyan5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| blend_shiyan4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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-MVSNET3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E3new | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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-MVSNET2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_11 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| E3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 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_10 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt07 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewdifsd2359ckpt09 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 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 |
|
| 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 | |
|
| MGCNet | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| 新几何1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| h-mvs33 | | | 0.30 79 | 0.30 80 | 0.30 84 | 0.30 91 | 0.30 91 | 0.30 91 | 0.30 92 | 0.30 91 | 0.30 90 | 0.30 88 | 0.30 90 | 0.30 91 | 0.30 89 | 0.30 89 | 0.30 89 |
|
| hse-mvs2 | | | 0.30 79 | 0.30 80 | 0.30 84 | 0.30 91 | 0.30 91 | 0.30 91 | 0.30 92 | 0.30 91 | 0.30 90 | 0.30 88 | 0.30 90 | 0.30 91 | 0.30 89 | 0.30 89 | 0.30 89 |
|
| CL-MVSNet_self_test | | | 0.30 79 | 0.30 80 | 0.30 84 | 0.30 91 | 0.30 91 | 0.30 91 | 0.30 92 | 0.30 91 | 0.30 90 | 0.30 88 | 0.30 90 | 0.30 91 | 0.30 89 | 0.30 89 | 0.30 89 |
|
| AUN-MVS | | | 0.30 79 | 0.30 80 | 0.30 84 | 0.30 91 | 0.30 91 | 0.30 91 | 0.30 92 | 0.30 91 | 0.30 90 | 0.30 88 | 0.30 90 | 0.30 91 | 0.30 89 | 0.30 89 | 0.30 89 |
|
| LCM-MVSNet | | | 0.37 83 | 0.36 84 | 0.37 88 | 0.37 95 | 0.37 95 | 0.37 95 | 0.32 96 | 0.37 95 | 0.37 94 | 0.37 92 | 0.37 94 | 0.37 95 | 0.37 93 | 0.37 93 | 0.37 93 |
|
| v144192 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v1921920 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v1192 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v1144 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v148 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v7n | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v1240 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v8 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v10 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| v2v482 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| V42 | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| GA-MVS | | | 0.40 84 | 0.40 85 | 0.40 89 | 0.40 96 | 0.40 96 | 0.40 96 | 0.40 98 | 0.40 96 | 0.40 95 | 0.40 93 | 0.40 95 | 0.40 96 | 0.40 94 | 0.40 94 | 0.40 94 |
|
| Fast-Effi-MVS+ | | | 0.41 96 | 0.40 85 | 0.41 101 | 0.41 108 | 0.41 108 | 0.41 108 | 0.35 97 | 0.41 108 | 0.41 107 | 0.41 105 | 0.41 107 | 0.41 108 | 0.41 106 | 0.41 106 | 0.41 106 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 97 | 0.44 98 | 0.44 102 | 0.44 109 | 0.44 109 | 0.44 109 | 0.44 110 | 0.44 109 | 0.44 108 | 0.44 106 | 0.44 108 | 0.44 109 | 0.44 107 | 0.44 107 | 0.44 107 |
|
| Effi-MVS+-dtu | | | 0.59 99 | 0.61 101 | 0.53 103 | 0.68 117 | 0.53 110 | 0.53 110 | 0.68 118 | 0.68 117 | 0.53 109 | 0.53 107 | 0.68 116 | 0.53 110 | 0.68 115 | 0.53 108 | 0.53 108 |
|
| KD-MVS_self_test | | | 0.60 100 | 0.60 100 | 0.60 104 | 0.60 111 | 0.60 111 | 0.60 112 | 0.60 112 | 0.60 111 | 0.60 110 | 0.60 108 | 0.60 110 | 0.60 111 | 0.60 108 | 0.60 110 | 0.60 109 |
|
| EIA-MVS | | | 0.62 101 | 0.62 102 | 0.62 105 | 0.62 112 | 0.62 112 | 0.62 113 | 0.62 113 | 0.62 112 | 0.62 111 | 0.62 109 | 0.62 111 | 0.62 112 | 0.62 109 | 0.62 111 | 0.62 110 |
|
| ETV-MVS | | | 0.62 101 | 0.62 102 | 0.62 105 | 0.62 112 | 0.62 112 | 0.62 113 | 0.62 113 | 0.62 112 | 0.62 111 | 0.62 109 | 0.62 111 | 0.62 112 | 0.62 109 | 0.62 111 | 0.62 110 |
|
| CS-MVS | | | 0.62 101 | 0.62 102 | 0.62 105 | 0.62 112 | 0.62 112 | 0.62 113 | 0.62 113 | 0.62 112 | 0.62 111 | 0.62 109 | 0.62 111 | 0.62 112 | 0.62 109 | 0.62 111 | 0.62 110 |
|
| SPE-MVS-test | | | 0.62 101 | 0.62 102 | 0.62 105 | 0.62 112 | 0.62 112 | 0.62 113 | 0.62 113 | 0.62 112 | 0.62 111 | 0.62 109 | 0.62 111 | 0.62 112 | 0.62 109 | 0.62 111 | 0.62 110 |
|
| Effi-MVS+ | | | 0.58 98 | 0.56 99 | 0.62 105 | 0.53 110 | 0.62 112 | 0.53 110 | 0.53 111 | 0.53 110 | 0.62 111 | 0.62 109 | 0.53 109 | 0.62 112 | 0.62 109 | 0.53 108 | 0.62 110 |
|
| EC-MVSNet | | | 0.62 101 | 0.62 102 | 0.62 105 | 0.62 112 | 0.62 112 | 0.62 113 | 0.62 113 | 0.62 112 | 0.62 111 | 0.62 109 | 0.62 111 | 0.62 112 | 0.62 109 | 0.62 111 | 0.62 110 |
|
| CDS-MVSNet | | | 0.88 106 | 0.88 107 | 0.88 111 | 0.88 118 | 0.88 118 | 0.88 118 | 0.88 119 | 0.88 118 | 0.88 117 | 0.88 115 | 0.88 117 | 0.88 118 | 0.88 116 | 0.88 116 | 0.88 116 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 106 | 0.88 107 | 0.88 111 | 0.88 118 | 0.88 118 | 0.88 118 | 0.88 119 | 0.88 118 | 0.88 117 | 0.88 115 | 0.88 117 | 0.88 118 | 0.88 116 | 0.88 116 | 0.88 116 |
|
| LCM-MVSNet-Re | | | 0.89 108 | 0.89 109 | 0.89 113 | 0.89 120 | 0.89 120 | 0.89 120 | 0.89 121 | 0.89 120 | 0.89 119 | 0.89 117 | 0.89 119 | 0.89 120 | 0.89 118 | 0.89 118 | 0.89 118 |
|
| DeepMVS_CX |  | | | | 1.00 114 | 1.00 121 | 1.00 121 | | 1.00 122 | 1.00 121 | 1.00 120 | 1.00 118 | 1.00 120 | 1.00 121 | 1.00 119 | 1.00 119 | 1.00 119 |
|
| MDA-MVSNet-bldmvs | | | 1.20 109 | 1.20 110 | 1.20 115 | 1.20 122 | 1.20 123 | 1.20 121 | 1.20 124 | 1.20 122 | 1.20 121 | 1.20 119 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 120 | 1.20 120 |
|
| YYNet1 | | | 1.20 109 | 1.20 110 | 1.20 115 | 1.20 122 | 1.20 123 | 1.20 121 | 1.20 124 | 1.20 122 | 1.20 121 | 1.20 119 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 120 | 1.20 120 |
|
| MDA-MVSNet_test_wron | | | 1.20 109 | 1.20 110 | 1.20 115 | 1.20 122 | 1.20 123 | 1.20 121 | 1.20 124 | 1.20 122 | 1.20 121 | 1.20 119 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 120 | 1.20 120 |
|
| KD-MVS_2432*1600 | | | 1.30 112 | 1.30 113 | 1.30 118 | 1.30 125 | 1.30 126 | 1.30 124 | 1.30 127 | 1.30 125 | 1.30 124 | 1.30 122 | 1.30 124 | 1.30 125 | 1.30 123 | 1.30 123 | 1.30 123 |
|
| miper_refine_blended | | | 1.30 112 | 1.30 113 | 1.30 118 | 1.30 125 | 1.30 126 | 1.30 124 | 1.30 127 | 1.30 125 | 1.30 124 | 1.30 122 | 1.30 124 | 1.30 125 | 1.30 123 | 1.30 123 | 1.30 123 |
|
| EI-MVSNet-UG-set | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| EI-MVSNet-Vis-set | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| EI-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| Regformer | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| CVMVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| EU-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| PS-CasMVS | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| PEN-MVS | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| TransMVSNet (Re) | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| DTE-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| DU-MVS | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| UniMVSNet (Re) | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| CP-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| WR-MVS_H | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| WR-MVS | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| NR-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| Baseline_NR-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| MVSFormer | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| jason | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
| jason: jason. |
| lupinMVS | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| test_djsdf | | | 1.42 114 | 1.42 115 | 1.42 120 | 1.42 127 | 1.42 128 | 1.42 126 | 1.42 129 | 1.42 127 | 1.42 126 | 1.42 124 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 125 | 1.42 125 |
|
| reproduce_monomvs | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| mmtdpeth | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| reproduce_model | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| reproduce-ours | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| our_new_method | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| mmdepth | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| monomultidepth | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| mvs5depth | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| MVStest1 | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| ttmdpeth | | | 1.48 137 | 1.48 138 | 1.48 143 | 1.48 151 | 1.48 151 | 1.48 149 | 1.48 154 | 1.48 150 | 1.48 149 | 1.48 147 | 1.48 149 | 1.48 150 | 1.48 148 | 1.48 148 | 1.48 148 |
|
| alignmvs | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| nrg030 | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| LFMVS | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| VDD-MVS | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| VDDNet | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| VPNet | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| VNet | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| VPA-MVSNet | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| cascas | | | 2.00 147 | 2.00 148 | 2.00 153 | 2.00 161 | 2.00 161 | 2.00 159 | 2.00 164 | 2.00 160 | 2.00 159 | 2.00 157 | 2.00 159 | 2.00 160 | 2.00 158 | 2.00 158 | 2.00 158 |
|
| UnsupCasMVSNet_eth | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| UnsupCasMVSNet_bld | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| WTY-MVS | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| HY-MVS | | 5.90 1 | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| sss | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| Test_1112_low_res | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| 1112_ss | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| ab-mvs-re | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| ab-mvs | | | 5.90 156 | 5.90 157 | 5.90 162 | 5.90 170 | 5.90 170 | 5.90 169 | 5.90 176 | 5.90 170 | 5.90 168 | 5.90 166 | 5.90 170 | 5.90 169 | 5.90 167 | 5.90 170 | 5.90 170 |
|
| CDPH-MVS | | | 6.66 165 | 6.66 166 | 6.66 171 | 6.66 179 | 6.66 179 | 6.66 178 | 6.66 185 | 6.66 179 | 6.66 177 | 6.66 175 | 6.66 179 | 6.66 178 | 6.66 176 | 6.66 179 | 6.66 179 |
|
| dp | | | 87.20 185 | 113.80 189 | 7.42 172 | 10.50 191 | 8.88 180 | 298.82 206 | 2.70 173 | 510.35 225 | 7.79 178 | 172.93 199 | 3.37 168 | 9.16 179 | 14.00 190 | 3.71 168 | 4.23 168 |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 181 | 9.99 179 | | 9.99 180 | 9.99 179 | | 9.99 181 | | 9.99 177 | | 9.99 180 |
|
| MDTV_nov1_ep13 | | | | 9.99 167 | | 9.99 180 | 9.99 181 | 9.99 179 | 9.99 187 | 9.99 180 | 9.99 179 | 9.99 176 | 9.99 181 | 9.99 180 | 9.99 177 | 9.99 181 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| xiu_mvs_v2_base | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| xiu_mvs_v1_base | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| xiu_mvs_v1_base_debi | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| cdsmvs_eth3d_5k | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| pcd_1.5k_mvsjas | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| PS-MVSNAJss | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| PS-MVSNAJ | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| jajsoiax | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| mvs_tets | | | 10.28 166 | 10.28 168 | 10.28 173 | 10.28 181 | 10.28 183 | 10.28 181 | 10.28 188 | 10.28 182 | 10.28 181 | 10.28 177 | 10.28 183 | 10.28 181 | 10.28 179 | 10.28 182 | 10.28 181 |
|
| test_method | | | 18.29 178 | 20.89 180 | 10.50 183 | 15.00 193 | 13.00 195 | 55.00 198 | 3.00 174 | 34.00 195 | 11.50 191 | 32.50 189 | 5.00 169 | 13.50 192 | 27.00 193 | 5.00 169 | 5.00 169 |
|
| SR-MVS-dyc-post | | | 11.55 176 | 11.55 178 | 11.55 185 | 11.55 192 | 11.55 194 | 11.55 191 | 11.55 200 | 11.55 192 | 11.55 192 | 11.55 187 | 11.55 194 | 11.55 191 | 11.55 189 | 11.55 192 | 11.55 191 |
|
| GeoE | | | 19.41 179 | 22.09 181 | 11.37 184 | 17.21 195 | 11.30 193 | 50.50 197 | 4.30 175 | 33.60 194 | 11.70 193 | 44.50 194 | 7.30 180 | 18.90 194 | 22.60 192 | 7.10 180 | 3.90 167 |
|
| XXY-MVS | | | 15.00 177 | 15.00 179 | 15.00 186 | 15.00 193 | 15.00 196 | 15.00 192 | 15.00 202 | 15.00 193 | 15.00 194 | 15.00 188 | 15.00 198 | 15.00 193 | 15.00 191 | 15.00 194 | 15.00 193 |
|
| GBi-Net | | | 44.67 184 | 49.24 186 | 30.96 187 | 47.53 200 | 47.57 201 | 126.09 199 | 8.00 186 | 76.99 200 | 26.09 195 | 73.50 196 | 11.27 193 | 30.55 195 | 61.12 198 | 12.58 193 | 14.75 192 |
|
| BH-w/o | | | 40.00 180 | 40.00 182 | 40.00 188 | 40.00 196 | 40.00 197 | 40.00 193 | 40.00 221 | 40.00 196 | 40.00 196 | 40.00 190 | 40.00 215 | 40.00 196 | 40.00 194 | 40.00 208 | 40.00 204 |
|
| BH-untuned | | | 40.00 180 | 40.00 182 | 40.00 188 | 40.00 196 | 40.00 197 | 40.00 193 | 40.00 221 | 40.00 196 | 40.00 196 | 40.00 190 | 40.00 215 | 40.00 196 | 40.00 194 | 40.00 208 | 40.00 204 |
|
| BH-RMVSNet | | | 40.00 180 | 40.00 182 | 40.00 188 | 40.00 196 | 40.00 197 | 40.00 193 | 40.00 221 | 40.00 196 | 40.00 196 | 40.00 190 | 40.00 215 | 40.00 196 | 40.00 194 | 40.00 208 | 40.00 204 |
|
| TR-MVS | | | 40.00 180 | 40.00 182 | 40.00 188 | 40.00 196 | 40.00 197 | 40.00 193 | 40.00 221 | 40.00 196 | 40.00 196 | 40.00 190 | 40.00 215 | 40.00 196 | 40.00 194 | 40.00 208 | 40.00 204 |
|
| new_pmnet | | | 88.14 186 | 98.62 187 | 56.70 192 | 98.14 207 | 56.07 202 | 246.79 201 | 15.37 203 | 148.06 201 | 50.77 200 | 143.13 197 | 23.35 199 | 62.65 200 | 93.26 199 | 68.71 218 | 51.38 214 |
|
| N_pmnet | | | 88.14 186 | 98.62 187 | 56.70 192 | 98.14 207 | 56.07 202 | 246.79 201 | 15.37 203 | 148.06 201 | 50.77 200 | 143.13 197 | 23.35 199 | 62.65 200 | 93.26 199 | 68.71 218 | 51.38 214 |
|
| MTAPA | | | 833442.10 338 | 1111233.77 344 | 67.09 194 | 65.59 201 | 64.81 204 | 284.50 203 | 10000000.00 376 | 219.97 206 | 59.62 202 | 229.89 210 | 12.72 195 | 103.00 215 | 203.67 216 | 27.93 195 | 33.46 194 |
|
| MP-MVS-pluss | | | 833433.63 337 | 1111219.60 343 | 75.70 198 | 74.28 202 | 73.29 205 | 284.50 203 | 11.35 198 | 238.58 207 | 65.86 203 | 255.35 215 | 14.55 196 | 115.69 217 | 10000000.00 370 | 31.94 196 | 38.12 202 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 191 | 133.18 193 | 75.70 198 | 74.28 202 | 73.29 205 | 284.50 203 | 11.35 198 | 238.58 207 | 65.86 203 | 255.35 215 | 14.55 196 | 115.69 217 | 222.18 217 | 31.94 196 | 38.12 202 |
|
| CANet | | | 110.62 188 | 124.04 190 | 70.34 195 | 82.03 204 | 74.27 207 | 325.54 207 | 25.25 206 | 207.16 203 | 69.28 205 | 194.38 200 | 27.53 201 | 95.79 209 | 147.76 203 | 37.43 198 | 40.97 208 |
|
| CANet_DTU | | | 110.62 188 | 124.04 190 | 70.34 195 | 82.03 204 | 74.27 207 | 325.54 207 | 25.25 206 | 207.16 203 | 69.28 205 | 194.38 200 | 27.53 201 | 95.79 209 | 147.76 203 | 37.43 198 | 40.97 208 |
|
| UGNet | | | 110.62 188 | 124.04 190 | 70.34 195 | 82.03 204 | 74.27 207 | 325.54 207 | 25.25 206 | 207.16 203 | 69.28 205 | 194.38 200 | 27.53 201 | 95.79 209 | 147.76 203 | 37.43 198 | 40.97 208 |
| 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 |
| FMVSNet5 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| test1 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| FMVSNet3 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| FMVSNet2 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| FMVSNet1 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| MIMVSNet1 | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| MIMVSNet | | | 124.76 192 | 140.93 194 | 76.26 200 | 107.44 210 | 100.17 214 | 329.88 210 | 27.12 212 | 259.44 212 | 74.30 208 | 204.34 203 | 30.74 204 | 92.41 202 | 196.98 206 | 38.15 201 | 36.19 195 |
|
| PVSNet_Blended_VisFu | | | 136.90 200 | 155.40 202 | 81.40 207 | 111.00 217 | 96.20 211 | 407.00 217 | 25.90 209 | 251.60 209 | 85.10 215 | 240.50 211 | 37.00 211 | 99.90 212 | 199.80 213 | 40.70 212 | 48.10 211 |
|
| PVSNet_BlendedMVS | | | 136.90 200 | 155.40 202 | 81.40 207 | 111.00 217 | 96.20 211 | 407.00 217 | 25.90 209 | 251.60 209 | 85.10 215 | 240.50 211 | 37.00 211 | 99.90 212 | 199.80 213 | 40.70 212 | 48.10 211 |
|
| PVSNet_Blended | | | 136.90 200 | 155.40 202 | 81.40 207 | 111.00 217 | 96.20 211 | 407.00 217 | 25.90 209 | 251.60 209 | 85.10 215 | 240.50 211 | 37.00 211 | 99.90 212 | 199.80 213 | 40.70 212 | 48.10 211 |
|
| DSMNet-mixed | | | 131.33 199 | 143.00 201 | 96.33 210 | 99.00 209 | 81.00 210 | 201.00 200 | 45.00 226 | 335.00 219 | 99.00 218 | 251.00 214 | 38.00 214 | 110.00 216 | 120.00 202 | 99.00 224 | 98.00 220 |
|
| BP-MVS1 | | | 202.65 203 | 232.15 205 | 114.16 211 | 183.40 221 | 141.78 221 | 655.87 225 | 24.69 205 | 372.56 220 | 109.76 219 | 356.89 217 | 47.15 219 | 139.51 219 | 284.15 219 | 54.86 215 | 61.20 216 |
|
| FE-MVS | | | 207.10 204 | 234.26 206 | 125.61 212 | 180.34 220 | 153.23 222 | 635.64 224 | 30.05 219 | 378.38 221 | 127.68 220 | 377.08 218 | 48.95 220 | 154.43 220 | 266.67 218 | 63.56 216 | 69.18 217 |
|
| GDP-MVS | | | 219.79 205 | 249.11 207 | 131.85 213 | 187.15 222 | 155.97 223 | 667.31 226 | 30.57 220 | 398.95 222 | 131.26 221 | 387.86 219 | 58.83 222 | 164.55 221 | 315.00 220 | 65.03 217 | 75.04 218 |
|
| FA-MVS(test-final) | | | 261.15 206 | 293.29 208 | 164.72 214 | 236.23 225 | 199.99 228 | 800.05 232 | 42.35 225 | 475.87 224 | 155.47 222 | 470.67 221 | 58.49 221 | 205.24 223 | 319.44 221 | 81.03 221 | 88.93 219 |
|
| kuosan | | | 267.89 208 | 301.05 210 | 168.41 215 | 244.05 226 | 177.28 224 | 667.98 227 | 65.76 228 | 533.41 226 | 157.79 223 | 492.01 222 | 104.69 237 | 226.72 224 | 364.47 224 | 79.31 220 | 101.21 222 |
|
| DP-MVS | | | 264.78 207 | 296.02 209 | 171.04 216 | 191.70 223 | 183.96 225 | 827.10 233 | 78.36 237 | 438.24 223 | 176.64 224 | 435.12 220 | 65.04 224 | 230.52 226 | 334.02 222 | 117.96 232 | 98.64 221 |
|
| SSC-MVS | | | 320.23 210 | 364.09 212 | 188.66 217 | 260.78 228 | 193.84 226 | 975.93 241 | 73.11 233 | 596.72 231 | 185.29 225 | 589.02 228 | 74.47 226 | 246.01 227 | 427.42 228 | 94.06 223 | 126.12 225 |
|
| WB-MVS | | | 316.44 209 | 357.41 211 | 193.51 218 | 257.06 227 | 213.32 231 | 914.45 235 | 49.03 227 | 600.77 232 | 186.42 226 | 634.00 234 | 75.03 227 | 251.35 228 | 411.39 225 | 88.55 222 | 115.87 224 |
|
| UWE-MVS-28 | | | 327.73 211 | 369.67 213 | 201.90 219 | 281.09 234 | 210.75 229 | 832.98 234 | 74.67 236 | 680.98 239 | 198.23 227 | 613.42 231 | 112.56 240 | 259.80 229 | 418.76 226 | 114.35 226 | 135.15 231 |
|
| dongtai | | | 360.45 214 | 401.64 216 | 236.89 224 | 303.10 235 | 262.16 239 | 963.12 238 | 72.78 231 | 622.82 235 | 199.37 228 | 708.06 237 | 130.96 245 | 310.90 234 | 506.46 238 | 108.11 225 | 137.60 232 |
|
| testing3 | | | 418.10 222 | 469.06 224 | 265.23 232 | 335.69 239 | 290.63 242 | 1240.88 258 | 93.72 247 | 717.99 241 | 215.31 229 | 811.97 250 | 232.41 284 | 358.74 240 | 458.67 229 | 114.88 227 | 146.32 234 |
|
| testing11 | | | 348.86 213 | 393.09 215 | 216.15 220 | 275.24 231 | 239.53 232 | 915.55 236 | 72.35 230 | 679.89 238 | 215.75 230 | 633.79 233 | 118.08 242 | 276.62 230 | 509.56 239 | 117.61 231 | 132.30 227 |
|
| testing91 | | | 347.05 212 | 389.92 214 | 218.43 221 | 275.92 232 | 241.43 233 | 923.71 237 | 71.70 229 | 667.65 237 | 217.04 231 | 629.00 232 | 113.33 241 | 281.39 231 | 495.50 231 | 115.45 228 | 132.47 228 |
|
| WB-MVSnew | | | 404.84 220 | 458.00 222 | 245.36 226 | 374.70 245 | 320.27 247 | 1193.74 256 | 72.90 232 | 773.77 247 | 238.30 232 | 688.22 236 | 90.05 230 | 308.59 233 | 532.76 242 | 157.54 243 | 107.21 223 |
|
| EG-PatchMatch MVS | | | 437.03 225 | 493.12 229 | 268.77 233 | 264.80 230 | 260.20 238 | 1491.80 264 | 98.00 251 | 723.20 243 | 238.80 233 | 722.40 238 | 63.10 223 | 382.00 246 | 629.00 251 | 207.00 258 | 164.10 241 |
|
| RPSCF | | | 394.81 219 | 445.63 221 | 242.35 225 | 276.55 233 | 253.63 235 | 1207.27 257 | 90.69 246 | 715.56 240 | 241.57 234 | 684.87 235 | 111.96 239 | 320.02 236 | 548.38 243 | 133.81 234 | 153.39 237 |
|
| UWE-MVS | | | 387.98 217 | 438.66 220 | 235.93 222 | 349.32 241 | 257.61 237 | 1081.50 249 | 82.45 241 | 637.74 236 | 257.12 235 | 738.54 239 | 134.25 246 | 308.00 232 | 531.93 241 | 135.11 235 | 142.17 233 |
|
| testing99 | | | 408.82 221 | 462.15 223 | 248.86 228 | 322.45 238 | 269.42 240 | 1118.93 252 | 73.26 234 | 719.36 242 | 262.28 236 | 772.10 241 | 150.98 252 | 327.08 237 | 601.98 247 | 137.99 236 | 150.07 235 |
|
| myMVS_eth3d28 | | | 418.40 223 | 473.07 225 | 254.39 230 | 261.18 229 | 313.04 243 | 1172.79 255 | 74.16 235 | 929.18 255 | 264.68 237 | 745.72 240 | 139.03 250 | 318.91 235 | 549.18 244 | 121.71 233 | 131.21 226 |
|
| Syy-MVS | | | 370.76 215 | 415.60 218 | 236.25 223 | 310.54 236 | 210.76 230 | 965.13 239 | 98.58 252 | 746.06 244 | 266.26 238 | 788.85 244 | 91.37 231 | 364.76 242 | 357.17 223 | 116.42 229 | 133.22 229 |
|
| myMVS_eth3d | | | 390.90 218 | 437.44 219 | 251.28 229 | 310.54 236 | 255.86 236 | 965.13 239 | 98.58 252 | 746.06 244 | 266.26 238 | 788.85 244 | 154.95 253 | 364.76 242 | 490.19 230 | 116.42 229 | 133.22 229 |
|
| ETVMVS | | | 443.50 228 | 498.07 230 | 279.78 234 | 378.05 248 | 321.57 248 | 1163.68 254 | 87.12 242 | 897.50 254 | 269.81 240 | 822.83 251 | 141.20 251 | 334.53 239 | 568.21 246 | 154.21 238 | 183.26 245 |
|
| testing222 | | | 430.52 224 | 487.50 228 | 259.56 231 | 379.87 249 | 282.69 241 | 1138.34 253 | 81.30 239 | 880.86 251 | 281.58 241 | 834.27 252 | 135.83 248 | 333.22 238 | 514.90 240 | 140.56 237 | 162.76 238 |
|
| ADS-MVSNet2 | | | 443.33 226 | 482.84 226 | 324.79 245 | 434.94 258 | 387.73 256 | 1110.57 250 | 87.69 243 | 887.02 252 | 282.92 242 | 779.29 242 | 98.57 235 | 422.76 254 | 502.40 232 | 162.19 247 | 163.87 239 |
|
| ADS-MVSNet | | | 443.33 226 | 482.84 226 | 324.79 245 | 434.94 258 | 387.73 256 | 1110.57 250 | 87.69 243 | 887.02 252 | 282.92 242 | 779.29 242 | 98.57 235 | 422.76 254 | 502.40 232 | 162.19 247 | 163.87 239 |
|
| DP-MVS Recon | | | 516.25 235 | 581.17 236 | 321.48 244 | 361.02 242 | 429.00 260 | 1995.36 272 | 78.48 238 | 796.20 248 | 283.32 244 | 796.02 246 | 96.78 232 | 382.98 247 | 636.72 253 | 186.66 255 | 152.46 236 |
|
| MVP-Stereo | | | 473.58 229 | 533.67 231 | 293.33 236 | 376.00 246 | 318.00 244 | 1461.00 262 | 96.00 248 | 835.00 249 | 290.00 245 | 804.00 247 | 97.00 233 | 383.00 248 | 688.00 259 | 156.00 240 | 179.00 243 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 229 | 533.67 231 | 293.33 236 | 376.00 246 | 318.00 244 | 1461.00 262 | 96.00 248 | 835.00 249 | 290.00 245 | 804.00 247 | 97.00 233 | 383.00 248 | 688.00 259 | 156.00 240 | 179.00 243 |
|
| WBMVS | | | 655.88 241 | 770.84 246 | 310.98 242 | 391.79 252 | 353.00 252 | 2280.68 274 | 99.17 255 | 1776.79 288 | 301.20 247 | 1123.23 270 | 187.34 270 | 390.28 250 | 620.39 250 | 156.98 242 | 189.66 248 |
|
| testing3-2 | | | 489.51 231 | 555.88 234 | 290.42 235 | 362.21 243 | 319.27 246 | 1424.84 261 | 88.81 245 | 964.80 256 | 309.62 248 | 879.13 254 | 174.38 260 | 363.98 241 | 643.82 255 | 155.29 239 | 188.01 246 |
|
| PatchmatchNet |  | | 492.52 232 | 551.22 233 | 316.40 243 | 400.20 254 | 357.90 254 | 1277.10 259 | 115.80 259 | 1034.60 265 | 315.90 249 | 874.00 253 | 155.10 254 | 402.20 251 | 629.50 252 | 158.80 244 | 189.10 247 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| SSC-MVS3.2 | | | 667.82 243 | 787.71 247 | 308.16 240 | 385.94 250 | 327.65 249 | 1718.51 267 | 117.00 261 | 1942.46 293 | 317.12 250 | 1488.73 284 | 183.89 261 | 404.82 252 | 763.70 261 | 172.02 250 | 192.01 250 |
|
| UBG | | | 667.82 243 | 787.71 247 | 308.16 240 | 385.94 250 | 327.65 249 | 1718.51 267 | 117.00 261 | 1942.46 293 | 317.12 250 | 1488.73 284 | 183.89 261 | 404.82 252 | 763.70 261 | 172.02 250 | 192.01 250 |
|
| DELS-MVS | | | 514.57 234 | 587.73 237 | 295.12 238 | 343.03 240 | 328.09 251 | 1540.48 266 | 116.22 260 | 988.59 257 | 325.44 252 | 906.22 255 | 119.86 244 | 365.72 244 | 788.60 263 | 161.09 246 | 191.55 249 |
| 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 |
| ACMH+ | | 729.97 2 | 661.38 242 | 754.00 244 | 383.51 248 | 368.96 244 | 376.38 255 | 2483.74 286 | 82.42 240 | 1089.25 266 | 333.39 253 | 1219.68 271 | 66.53 225 | 573.60 271 | 957.86 269 | 184.14 254 | 200.56 252 |
|
| tpmvs | | | 501.65 233 | 567.42 235 | 304.33 239 | 395.39 253 | 356.32 253 | 1512.04 265 | 216.53 288 | 994.15 258 | 350.16 254 | 804.16 249 | 119.38 243 | 380.98 245 | 555.14 245 | 159.87 245 | 175.69 242 |
|
| IterMVS | | | 615.05 239 | 691.66 242 | 385.23 249 | 516.40 261 | 454.80 261 | 1863.80 270 | 102.10 256 | 1142.20 267 | 364.10 255 | 1093.20 269 | 135.00 247 | 480.40 257 | 826.90 264 | 181.20 252 | 220.50 253 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 240 | 700.96 243 | 362.78 247 | 426.10 257 | 409.25 258 | 1822.69 269 | 124.42 271 | 1186.23 268 | 366.85 256 | 1079.42 267 | 190.60 272 | 451.78 256 | 930.72 268 | 181.59 253 | 227.30 254 |
| 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 |
| new-patchmatchnet | | | 766.12 247 | 859.03 252 | 487.38 262 | 595.68 263 | 536.14 266 | 2346.27 276 | 142.51 276 | 1488.08 275 | 422.43 257 | 1361.32 275 | 163.65 257 | 628.60 276 | 1003.74 278 | 207.61 259 | 297.41 268 |
|
| SixPastTwentyTwo | | | 773.62 248 | 869.37 254 | 486.35 261 | 603.45 265 | 547.15 275 | 2532.14 287 | 106.92 258 | 1434.95 274 | 428.08 258 | 1360.56 274 | 165.15 258 | 628.96 277 | 984.09 270 | 209.01 260 | 282.94 265 |
|
| lessismore_v0 | | | | | 569.20 267 | 667.25 284 | 644.68 284 | | 96.45 250 | | 428.86 259 | 1514.17 286 | 204.21 279 | 756.58 280 | 1061.60 280 | 197.79 257 | 306.34 269 |
|
| IterMVS-LS | | | 758.94 246 | 856.56 251 | 466.10 259 | 606.60 266 | 546.80 274 | 2309.90 275 | 122.20 270 | 1402.80 273 | 463.50 260 | 1348.20 273 | 192.60 273 | 574.60 272 | 1028.60 279 | 234.60 270 | 276.90 264 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| mvs_anonymous | | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
|
| casdiffmvs |  | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
| 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 |  | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
| 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 | | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
|
| baseline1 | | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
|
| casdiffmvs_mvg |  | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
| 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 | | | 774.90 249 | 882.28 255 | 452.77 251 | 636.50 275 | 537.20 267 | 2348.80 277 | 120.30 263 | 1504.30 276 | 474.40 261 | 1371.10 276 | 186.90 263 | 564.70 264 | 1078.90 281 | 219.30 261 | 256.40 255 |
|
| ACMH | | 993.80 5 | 967.92 264 | 1106.11 274 | 553.33 265 | 494.00 260 | 534.00 265 | 3581.00 292 | 136.00 273 | 1585.00 285 | 478.00 268 | 1871.00 291 | 90.00 228 | 839.00 283 | 1460.00 292 | 260.00 271 | 287.00 266 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet | | 1207.94 6 | 829.56 259 | 937.18 262 | 506.69 263 | 645.55 282 | 585.72 277 | 2477.98 285 | 130.52 272 | 1578.29 284 | 509.50 269 | 1460.01 283 | 194.90 274 | 637.19 278 | 1170.78 289 | 267.07 274 | 297.17 267 |
|
| Gipuma |  | | 689.75 245 | 767.00 245 | 458.00 258 | 613.00 273 | 549.00 276 | 1943.00 271 | 187.00 285 | 1230.00 269 | 518.00 270 | 1092.00 268 | 203.00 278 | 564.00 263 | 892.00 267 | 225.00 268 | 261.00 262 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS |  | 863.65 3 | 957.08 263 | 1054.11 272 | 666.00 277 | 401.00 255 | 495.00 263 | 3790.00 294 | 279.00 290 | 1607.00 286 | 521.00 271 | 1745.00 289 | 90.00 228 | 1105.00 300 | 639.00 254 | 415.00 285 | 398.00 282 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| K. test v3 | | | 877.74 261 | 980.16 264 | 570.46 268 | 1316.85 307 | 813.15 293 | 2565.52 288 | 103.78 257 | 1509.49 283 | 548.33 272 | 1258.90 272 | 219.93 283 | 587.82 273 | 1102.37 288 | 196.30 256 | 310.42 270 |
|
| GG-mvs-BLEND | | | | | 596.01 269 | 611.29 270 | 600.33 278 | 790.30 229 | 513.12 324 | | 552.71 273 | 567.40 223 | 662.54 328 | 531.67 258 | 503.93 234 | 779.80 306 | 656.02 290 |
|
| gg-mvs-nofinetune | | | 594.69 236 | 605.37 238 | 562.67 266 | 617.29 274 | 500.33 264 | 772.30 228 | 413.12 309 | 579.21 227 | 552.71 273 | 567.40 223 | 662.54 328 | 531.67 258 | 503.93 234 | 779.80 306 | 656.02 290 |
|
| CR-MVSNet | | | 612.36 238 | 617.81 241 | 596.01 269 | 611.29 270 | 600.33 278 | 790.30 229 | 513.12 324 | 579.21 227 | 552.71 273 | 567.40 223 | 662.54 328 | 531.67 258 | 503.93 234 | 779.80 306 | 656.02 290 |
|
| MVSTER | | | 890.06 262 | 1005.91 271 | 542.52 264 | 736.13 287 | 653.90 285 | 2616.56 289 | 145.22 278 | 1692.10 287 | 555.69 276 | 1554.72 287 | 266.25 285 | 660.02 279 | 1219.66 290 | 266.84 273 | 313.64 271 |
|
| ACMP | | 1246.57 7 | 1086.24 272 | 1235.17 276 | 639.45 272 | 596.53 264 | 639.91 283 | 3904.24 295 | 152.04 279 | 1851.54 290 | 566.58 277 | 1997.95 293 | 138.50 249 | 938.30 287 | 1605.46 294 | 303.70 280 | 340.14 273 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PVSNet_0 | | 1661.03 9 | 968.54 265 | 1066.82 273 | 673.70 278 | 706.94 285 | 695.69 286 | 2669.02 290 | 153.52 280 | 2108.17 296 | 605.54 278 | 1679.14 288 | 213.26 282 | 886.75 286 | 1236.76 291 | 229.01 269 | 438.67 283 |
|
| tmp_tt | | | 371.08 216 | 412.78 217 | 246.00 227 | 231.00 224 | 197.00 227 | 1293.00 260 | 376.00 301 | 756.00 246 | 609.00 279 | 71.00 195 | 106.00 238 | 195.00 222 | 102.00 201 | 171.00 249 | 346.00 275 |
|
| RE-MVS-def | | | | 610.10 239 | | 610.10 268 | 610.10 281 | 610.10 222 | 610.10 333 | 610.10 233 | 610.10 280 | 610.10 229 | 610.10 316 | | 610.10 248 | 610.10 289 | 610.10 287 |
|
| SR-MVS | | | 610.10 237 | 610.10 239 | 610.10 271 | 610.10 268 | 610.10 281 | 610.10 222 | 610.10 333 | 610.10 233 | 610.10 280 | 610.10 229 | 610.10 316 | 610.10 274 | 610.10 248 | 610.10 289 | 610.10 287 |
|
| MSLP-MVS++ | | | 1242.93 277 | 1411.08 280 | 738.48 282 | 712.71 286 | 712.68 287 | 4168.17 297 | 136.50 274 | 2276.40 298 | 613.28 282 | 2368.60 298 | 161.61 256 | 1130.38 301 | 1964.54 301 | 297.88 277 | 372.39 278 |
|
| MVS_111021_LR | | | 1136.45 275 | 1298.72 278 | 649.64 273 | 756.17 288 | 726.26 289 | 3785.94 293 | 138.15 275 | 2190.64 297 | 629.63 283 | 2064.39 294 | 165.45 259 | 874.83 285 | 1678.43 297 | 279.70 275 | 347.82 276 |
|
| ACMMPR | | | 1296.60 279 | 1480.82 282 | 743.96 283 | 899.25 292 | 763.47 291 | 4305.47 298 | 143.90 277 | 2530.94 301 | 683.99 284 | 2346.34 297 | 201.65 277 | 1098.25 299 | 1920.59 300 | 295.21 276 | 370.16 277 |
|
| test_0402 | | | 1110.00 274 | 1260.00 277 | 660.00 274 | 900.00 293 | 780.00 292 | 3300.00 291 | 210.00 287 | 2040.00 295 | 690.00 285 | 1950.00 292 | 300.00 289 | 810.00 282 | 1620.00 295 | 330.00 281 | 390.00 281 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 282 | 1886.82 286 | 481.89 260 | 847.73 289 | 830.16 294 | 7943.84 319 | 189.23 286 | 2398.83 299 | 691.73 286 | 2341.13 296 | 209.16 280 | 230.25 225 | 1999.25 302 | 360.46 282 | 385.25 280 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| ACMM | | 1311.08 8 | 1165.06 276 | 1332.72 279 | 662.07 276 | 584.90 262 | 715.99 288 | 4373.59 299 | 153.99 281 | 1880.27 291 | 709.02 287 | 2316.97 295 | 188.63 271 | 939.89 288 | 1484.30 293 | 302.78 279 | 330.34 272 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 280 | 1622.84 284 | 678.81 279 | 952.13 294 | 840.17 295 | 5358.21 303 | 170.75 283 | 2650.47 302 | 713.54 288 | 2394.28 299 | 209.42 281 | 855.56 284 | 1854.36 299 | 302.42 278 | 340.71 274 |
|
| MG-MVS | | | 1256.50 278 | 1432.00 281 | 730.00 281 | 610.00 267 | 760.00 290 | 4720.00 300 | 169.00 282 | 1920.00 292 | 723.00 289 | 2510.00 301 | 201.00 276 | 1050.00 298 | 1645.00 296 | 390.00 284 | 380.00 279 |
|
| CSCG | | | 826.03 258 | 963.29 263 | 414.24 250 | 421.52 256 | 426.11 259 | 2230.35 273 | 179.52 284 | 1827.44 289 | 733.43 290 | 933.12 257 | 281.25 286 | 545.23 262 | 1800.35 298 | 262.64 272 | 271.38 263 |
|
| FPMVS | | | 1407.00 281 | 1495.59 283 | 1141.23 294 | 648.01 283 | 893.85 297 | 4124.00 296 | 503.81 323 | 3219.04 304 | 742.72 291 | 2498.84 300 | 157.98 255 | 1727.83 307 | 832.93 265 | 732.98 305 | 802.00 299 |
|
| Patchmtry | | | 1090.75 273 | 1198.88 275 | 766.38 284 | 1290.90 305 | 485.90 262 | 2423.98 284 | 1267.30 356 | 1297.17 270 | 923.90 292 | 923.40 256 | 1215.54 349 | 990.23 289 | 667.90 256 | 779.80 306 | 823.02 304 |
|
| PatchT | | | 856.34 260 | 860.99 253 | 842.38 285 | 1290.90 305 | 880.90 296 | 790.30 229 | 1267.30 356 | 579.21 227 | 923.90 292 | 567.40 223 | 662.54 328 | 990.23 289 | 887.56 266 | 779.80 306 | 656.02 290 |
|
| COLMAP_ROB |  | 2144.59 11 | 1658.33 283 | 1869.33 285 | 1025.33 293 | 1030.00 302 | 1023.00 307 | 5311.00 302 | 359.00 299 | 3044.00 303 | 937.00 294 | 2892.00 302 | 332.00 293 | 1440.00 304 | 2312.00 304 | 607.00 288 | 613.00 289 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| ambc | | | | | 999.00 286 | 999.00 295 | 999.00 300 | 999.00 242 | 999.00 349 | | 999.00 295 | 999.00 258 | 999.00 341 | 999.00 291 | 999.00 271 | 999.00 325 | 999.00 322 |
|
| OurMVSNet-221017-0 | | | 999.00 266 | 999.00 265 | 999.00 286 | 999.00 295 | 999.00 300 | 999.00 242 | 999.00 349 | 999.00 259 | 999.00 295 | 999.00 258 | 999.00 341 | 999.00 291 | 999.00 271 | 999.00 325 | 999.00 322 |
|
| EPMVS | | | 999.00 266 | 999.00 265 | 999.00 286 | 999.00 295 | 999.00 300 | 999.00 242 | 999.00 349 | 999.00 259 | 999.00 295 | 999.00 258 | 999.00 341 | 999.00 291 | 999.00 271 | 999.00 325 | 999.00 322 |
|
| uanet_test | | | 1000.00 268 | 1000.00 267 | 1000.00 289 | 1000.00 298 | 1000.00 303 | 1000.00 245 | 1000.00 352 | 1000.00 261 | 1000.00 298 | 1000.00 261 | 1000.00 344 | 1000.00 294 | 1000.00 274 | 1000.00 328 | 1000.00 325 |
|
| sosnet | | | 1000.00 268 | 1000.00 267 | 1000.00 289 | 1000.00 298 | 1000.00 303 | 1000.00 245 | 1000.00 352 | 1000.00 261 | 1000.00 298 | 1000.00 261 | 1000.00 344 | 1000.00 294 | 1000.00 274 | 1000.00 328 | 1000.00 325 |
|
| USDC | | | 1000.00 268 | 1000.00 267 | 1000.00 289 | 1000.00 298 | 1000.00 303 | 1000.00 245 | 1000.00 352 | 1000.00 261 | 1000.00 298 | 1000.00 261 | 1000.00 344 | 1000.00 294 | 1000.00 274 | 1000.00 328 | 1000.00 325 |
|
| TinyColmap | | | 1000.00 268 | 1000.00 267 | 1000.00 289 | 1000.00 298 | 1000.00 303 | 1000.00 245 | 1000.00 352 | 1000.00 261 | 1000.00 298 | 1000.00 261 | 1000.00 344 | 1000.00 294 | 1000.00 274 | 1000.00 328 | 1000.00 325 |
|
| JIA-IIPM | | | 804.30 257 | 835.64 250 | 710.26 280 | 885.90 290 | 895.90 298 | 455.98 220 | 668.73 338 | 1297.17 270 | 1002.26 302 | 1001.67 265 | 655.98 326 | 756.98 281 | 667.90 256 | 885.21 318 | 477.90 284 |
|
| RPMNet | | | 787.26 256 | 829.13 249 | 661.63 275 | 885.90 290 | 895.90 298 | 455.98 220 | 610.10 333 | 1297.17 270 | 1002.26 302 | 1001.67 265 | 655.98 326 | 611.10 275 | 667.90 256 | 885.21 318 | 477.90 284 |
|
| F-COLMAP | | | 1878.17 284 | 2113.11 287 | 1173.33 297 | 1231.00 303 | 1174.00 308 | 6297.00 305 | 392.00 304 | 3356.00 306 | 1087.00 304 | 3082.00 303 | 361.00 297 | 1670.00 306 | 2523.00 306 | 689.00 295 | 676.00 294 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 290 | 2597.03 293 | 1297.84 298 | 1701.20 312 | 1332.37 309 | 8105.11 320 | 451.45 312 | 4031.84 311 | 1099.10 305 | 3966.50 310 | 467.45 305 | 1734.05 308 | 2701.68 309 | 848.94 315 | 827.11 305 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CMPMVS |  | 2623.62 15 | 1983.08 286 | 2156.14 288 | 1463.89 307 | 1414.80 309 | 1517.00 313 | 5239.20 301 | 867.40 343 | 3310.30 305 | 1128.70 306 | 3489.90 305 | 366.75 298 | 2030.20 318 | 2427.60 305 | 1160.60 337 | 844.46 307 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| OpenMVS |  | 2352.88 13 | 2263.08 289 | 2530.89 292 | 1459.67 306 | 1767.00 320 | 1591.00 316 | 7932.00 318 | 399.00 305 | 3643.00 307 | 1176.00 307 | 3569.00 307 | 297.00 288 | 1927.00 314 | 3302.00 312 | 693.00 300 | 861.00 308 |
|
| MVS-HIRNet | | | 2125.39 287 | 2452.68 290 | 1143.53 295 | 2938.33 350 | 1446.92 312 | 6083.19 304 | 391.74 303 | 3801.71 309 | 1202.10 308 | 3439.72 304 | 492.73 307 | 1304.35 303 | 3048.25 311 | 676.32 294 | 679.32 295 |
|
| ZD-MVS | | | | | | 1584.00 310 | 1821.00 333 | | 378.00 302 | 3721.00 308 | 1231.00 309 | 1833.00 290 | 321.00 292 | 1224.00 302 | 2103.00 303 | 692.00 299 | |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 298 | 3021.57 300 | 1618.12 309 | 2377.67 336 | 1751.39 329 | 8915.70 325 | 567.44 331 | 4569.74 318 | 1236.84 310 | 4615.63 316 | 513.23 308 | 2291.32 320 | 3515.48 316 | 882.39 317 | 811.66 301 |
|
| PLC |  | 2858.82 16 | 2192.92 288 | 2474.00 291 | 1349.67 299 | 1407.00 308 | 1356.00 310 | 7164.00 310 | 475.00 316 | 3970.00 310 | 1237.00 311 | 3765.00 309 | 451.00 304 | 1891.00 312 | 3006.00 310 | 791.00 311 | 802.00 299 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| Vis-MVSNet |  | | 2877.42 301 | 3170.00 304 | 1999.67 322 | 1673.00 311 | 2042.00 339 | 8593.00 323 | 474.00 315 | 6452.00 335 | 1268.00 312 | 5125.00 323 | 339.00 294 | 3004.00 336 | 4222.00 326 | 384.00 283 | 953.00 318 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| DeepC-MVS | | 3917.13 19 | 3155.06 304 | 3601.83 307 | 1814.72 317 | 2515.52 339 | 1941.53 334 | 10432.50 340 | 589.42 332 | 4789.45 319 | 1298.65 313 | 7677.31 341 | 578.35 315 | 2589.53 326 | 3611.78 318 | 923.52 320 | 913.10 313 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| test_0728_THIRD | | | | | | | | | | 5016.02 322 | 1363.85 314 | 4894.28 320 | 387.23 299 | 2023.43 315 | 3973.88 320 | 620.04 291 | 732.56 296 |
|
| test0726 | | | | | | 1725.60 313 | 1598.35 317 | 9203.30 326 | 315.86 293 | 5016.02 322 | 1363.85 314 | 4894.28 320 | 387.23 299 | | | | |
|
| SD-MVS | | | 2654.53 297 | 3055.56 302 | 1451.45 304 | 1725.60 313 | 1598.35 317 | 9203.30 326 | 315.86 293 | 5016.02 322 | 1363.85 314 | 4894.28 320 | 387.23 299 | 2023.43 315 | 3973.88 320 | 620.04 291 | 732.56 296 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| 3Dnovator | | 2482.06 14 | 2531.17 294 | 2839.56 297 | 1606.00 308 | 1732.00 316 | 1557.00 315 | 8375.00 322 | 483.00 317 | 4370.00 316 | 1371.00 317 | 4200.00 311 | 350.00 295 | 2207.00 319 | 3877.00 319 | 798.00 312 | 1054.00 329 |
|
| SteuartSystems-ACMMP | | | 2891.50 302 | 3284.78 305 | 1711.67 312 | 1954.00 323 | 1655.00 323 | 10117.00 339 | 445.00 311 | 5102.00 325 | 1375.00 318 | 5126.00 324 | 351.00 296 | 2638.00 332 | 4402.00 327 | 691.00 298 | 842.00 306 |
| Skip Steuart: Steuart Systems R&D Blog. |
| AdaColmap |  | | 2570.77 296 | 2948.61 299 | 1437.24 303 | 1873.64 322 | 1526.60 314 | 7819.77 317 | 373.97 300 | 4970.45 320 | 1479.29 319 | 4648.46 317 | 525.80 310 | 1904.97 313 | 4150.42 324 | 695.69 301 | 880.14 312 |
|
| LF4IMVS | | | 2699.50 299 | 3049.67 301 | 1649.00 310 | 1755.00 317 | 1689.00 324 | 8330.00 321 | 464.00 314 | 4997.00 321 | 1528.00 320 | 4763.00 319 | 568.00 314 | 2296.00 321 | 4215.00 325 | 827.00 314 | 962.00 319 |
|
| tpmrst | | | 2557.50 295 | 2847.12 298 | 1688.66 311 | 1784.08 321 | 1778.25 330 | 7445.50 316 | 342.14 296 | 4471.54 317 | 1534.55 321 | 4382.10 315 | 530.10 311 | 2361.21 322 | 4142.81 323 | 991.22 323 | 926.51 314 |
|
| CHOSEN 280x420 | | | 2340.81 291 | 2643.03 294 | 1434.14 300 | 2025.55 329 | 1629.36 320 | 6542.40 306 | 412.49 306 | 4219.70 313 | 1547.02 322 | 4328.52 312 | 650.74 323 | 1798.26 309 | 3333.17 313 | 727.72 302 | 874.79 309 |
|
| CHOSEN 1792x2688 | | | 2340.81 291 | 2643.03 294 | 1434.14 300 | 2025.55 329 | 1629.36 320 | 6542.40 306 | 412.49 306 | 4219.70 313 | 1547.02 322 | 4328.52 312 | 650.74 323 | 1798.26 309 | 3333.17 313 | 727.72 302 | 874.79 309 |
|
| HyFIR lowres test | | | 2340.81 291 | 2643.03 294 | 1434.14 300 | 2025.55 329 | 1629.36 320 | 6542.40 306 | 412.49 306 | 4219.70 313 | 1547.02 322 | 4328.52 312 | 650.74 323 | 1798.26 309 | 3333.17 313 | 727.72 302 | 874.79 309 |
|
| DPM-MVS | | | 3268.00 305 | 3762.89 308 | 1783.33 315 | 1756.00 318 | 1806.00 331 | 12319.00 342 | 307.00 291 | 6319.00 333 | 1557.00 325 | 5763.00 326 | 302.00 290 | 2609.00 328 | 5061.00 331 | 482.00 286 | 935.00 316 |
|
| OPM-MVS | | | 3268.00 305 | 3762.89 308 | 1783.33 315 | 1756.00 318 | 1806.00 331 | 12319.00 342 | 307.00 291 | 6319.00 333 | 1557.00 325 | 5763.00 326 | 302.00 290 | 2609.00 328 | 5061.00 331 | 482.00 286 | 935.00 316 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| EGC-MVSNET | | | 2819.75 300 | 3096.89 303 | 1988.33 321 | 3105.00 351 | 2241.00 341 | 9480.00 330 | 640.00 337 | 4209.00 312 | 1583.00 327 | 4740.00 318 | 547.00 313 | 2797.00 334 | 2644.00 308 | 924.00 321 | 927.00 315 |
|
| tpm2 | | | 3617.85 309 | 4007.23 311 | 2449.73 329 | 2012.71 325 | 1698.05 325 | 7351.19 312 | 869.29 344 | 6132.06 328 | 1588.28 328 | 8007.42 344 | 1281.09 350 | 3888.11 348 | 7472.04 349 | 1351.00 339 | 1763.02 345 |
|
| tpm cat1 | | | 3617.85 309 | 4007.23 311 | 2449.73 329 | 2012.71 325 | 1698.05 325 | 7351.19 312 | 869.29 344 | 6132.06 328 | 1588.28 328 | 8007.42 344 | 1281.09 350 | 3888.11 348 | 7472.04 349 | 1351.00 339 | 1763.02 345 |
|
| CostFormer | | | 3617.85 309 | 4007.23 311 | 2449.73 329 | 2012.71 325 | 1698.05 325 | 7351.19 312 | 869.29 344 | 6132.06 328 | 1588.28 328 | 8007.42 344 | 1281.09 350 | 3888.11 348 | 7472.04 349 | 1351.00 339 | 1763.02 345 |
|
| tpm | | | 3617.85 309 | 4007.23 311 | 2449.73 329 | 2012.71 325 | 1698.05 325 | 7351.19 312 | 869.29 344 | 6132.06 328 | 1588.28 328 | 8007.42 344 | 1281.09 350 | 3888.11 348 | 7472.04 349 | 1351.00 339 | 1763.02 345 |
|
| DVP-MVS++ | | | 3981.10 315 | 4731.32 320 | 1730.42 313 | 2191.51 332 | 1949.98 335 | 16473.90 351 | 355.33 297 | 7172.90 344 | 1622.98 332 | 7879.79 342 | 434.33 302 | 2428.11 324 | 5762.12 334 | 689.04 296 | 813.18 302 |
|
| DVP-MVS |  | | 3981.10 315 | 4731.32 320 | 1730.42 313 | 2191.51 332 | 1949.98 335 | 16473.90 351 | 355.33 297 | 7172.90 344 | 1622.98 332 | 7879.79 342 | 434.33 302 | 2428.11 324 | 5762.12 334 | 689.04 296 | 813.18 302 |
| 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 |
| OpenMVS_ROB |  | 1936.51 10 | 1959.51 285 | 2224.88 289 | 1163.39 296 | 1253.91 304 | 1434.22 311 | 7065.71 309 | 272.76 289 | 2472.29 300 | 1647.54 334 | 3538.72 306 | 200.37 275 | 1496.48 305 | 2575.17 307 | 997.45 324 | 559.48 286 |
|
| TAPA-MVS | | 6309.84 21 | 3374.90 307 | 3806.99 310 | 2078.63 324 | 2535.47 340 | 2499.25 349 | 8816.16 324 | 456.05 313 | 6255.60 332 | 1664.52 335 | 6704.88 331 | 629.95 321 | 2768.38 333 | 6343.93 345 | 856.35 316 | 968.25 320 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 308 | 4065.89 315 | 1914.35 318 | 2349.10 335 | 2141.30 340 | 12362.70 344 | 417.60 310 | 6717.80 339 | 1759.40 336 | 6497.50 329 | 518.18 309 | 2629.38 331 | 5164.32 333 | 806.40 313 | 972.38 321 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| 3Dnovator+ | | 3414.41 17 | 3146.67 303 | 3537.00 306 | 1975.67 319 | 2310.00 334 | 2005.00 338 | 10100.00 338 | 626.00 336 | 5753.00 326 | 1803.00 337 | 5179.00 325 | 487.00 306 | 2622.00 330 | 4550.00 328 | 1025.00 332 | 1300.00 336 |
|
| ITE_SJBPF | | | | | 2014.00 323 | 1998.00 324 | 1992.00 337 | | 701.00 339 | 5989.00 327 | 1812.00 338 | 3612.00 308 | 650.00 322 | 2852.00 335 | 4601.00 329 | 1195.00 338 | 1198.00 335 |
|
| MVS_111021_HR | | | 3742.80 313 | 4330.34 316 | 1980.20 320 | 2484.31 338 | 2259.52 342 | 14973.80 349 | 515.90 330 | 6500.13 336 | 1949.21 339 | 6146.89 328 | 535.66 312 | 2593.66 327 | 4880.76 330 | 986.37 322 | 1087.43 330 |
|
| FOURS1 | | | | | | 2643.17 341 | 2465.14 344 | 13996.40 346 | 493.26 318 | 7619.38 347 | 2107.24 340 | | | | | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 347 | 2107.24 340 | 7416.93 338 | 610.24 318 | 3088.29 341 | 6075.14 341 | 1078.39 333 | 1159.26 331 |
|
| test_one_0601 | | | | | | 2643.17 341 | 2465.14 344 | | 493.26 318 | 7619.38 347 | 2107.24 340 | 7416.93 338 | 610.24 318 | | | | |
|
| SED-MVS | | | 4062.74 318 | 4671.13 319 | 2237.56 325 | 2643.17 341 | 2465.14 344 | 13996.40 346 | 493.26 318 | 7619.38 347 | 2107.24 340 | 7416.93 338 | 610.24 318 | 3088.29 341 | 6075.14 341 | 1078.39 333 | 1159.26 331 |
|
| IU-MVS | | | | | | 2725.60 346 | 2598.35 350 | | 515.86 326 | 7016.02 340 | 2363.85 344 | | | | 5973.88 337 | 1620.04 345 | 1732.56 341 |
|
| test_241102_TWO | | | | | | | | | 515.86 326 | 7016.02 340 | 2363.85 344 | 6894.28 332 | 887.23 336 | 3023.43 337 | 5973.88 337 | 1620.04 345 | 1732.56 341 |
|
| test_241102_ONE | | | | | | 2725.60 346 | 2598.35 350 | | 515.86 326 | 7016.02 340 | 2363.85 344 | 6894.28 332 | 887.23 336 | 3023.43 337 | | | |
|
| MSP-MVS | | | 4296.20 319 | 4911.12 323 | 2451.45 333 | 2725.60 346 | 2598.35 350 | 16203.30 350 | 515.86 326 | 7016.02 340 | 2363.85 344 | 6894.28 332 | 887.23 336 | 3023.43 337 | 5973.88 337 | 1620.04 345 | 1732.56 341 |
| 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 |
| GST-MVS | | | 4000.00 317 | 4533.33 318 | 2400.00 328 | 2400.00 337 | 2400.00 343 | 7200.00 311 | 2400.00 360 | 7200.00 346 | 2400.00 348 | 7200.00 336 | 2400.00 354 | 2400.00 323 | 7200.00 347 | 2400.00 351 | 2400.00 350 |
|
| MAR-MVS | | | 3973.16 314 | 4387.92 317 | 2728.86 335 | 3345.27 352 | 3341.39 356 | 11403.90 341 | 798.76 341 | 6555.62 338 | 2569.29 349 | 6514.86 330 | 834.97 335 | 3237.43 345 | 5891.08 336 | 1577.54 344 | 1607.76 337 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| API-MVS | | | 4380.83 320 | 4906.56 322 | 2803.67 336 | 3844.00 353 | 3116.00 355 | 13454.00 345 | 901.00 348 | 6511.00 337 | 2794.00 350 | 7365.00 337 | 754.00 332 | 3634.00 346 | 6622.00 346 | 1914.00 350 | 1661.00 340 |
|
| OMC-MVS | | | 5022.26 321 | 5748.82 324 | 2842.58 337 | 4905.27 355 | 3101.27 354 | 14933.60 348 | 812.24 342 | 9278.40 351 | 2959.29 351 | 8800.17 348 | 1092.24 348 | 3806.30 347 | 7568.54 353 | 1389.60 343 | 1620.18 339 |
|
| LS3D | | | 7684.71 323 | 8776.23 326 | 4410.16 339 | 5298.55 356 | 5631.53 358 | 34329.90 360 | 1504.57 358 | 11554.00 360 | 3896.41 352 | 15111.00 357 | 812.19 333 | 5985.63 353 | 3516.20 317 | 2963.23 352 | 1613.31 338 |
|
| CLD-MVS | | | 7338.25 322 | 8341.00 325 | 4330.00 338 | 4902.00 354 | 4991.00 357 | 23318.00 358 | 728.00 340 | 14437.00 361 | 4378.00 353 | 13379.00 356 | 824.00 334 | 5708.00 352 | 11429.00 362 | 1674.00 349 | 2291.00 349 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| MVE |  | 10021.00 22 | 10550.67 331 | 10002.44 334 | 12195.33 348 | 6242.00 357 | 8768.00 360 | 30896.00 359 | 4451.00 361 | 10331.00 359 | 6247.00 354 | 18296.00 358 | 283.00 287 | 21484.00 362 | 7364.00 348 | 5912.00 354 | 6334.00 352 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 332 | 11772.44 335 | 7637.33 340 | 9120.00 358 | 8206.00 359 | 22252.00 357 | 2010.00 359 | 24984.00 362 | 7458.00 355 | 22596.00 359 | 2940.00 355 | 10260.00 361 | 11100.00 361 | 3492.00 353 | 4446.00 351 |
|
| ZNCC-MVS | | | 9999.00 324 | 9999.00 327 | 9999.00 341 | 9999.00 359 | 9999.00 361 | 9999.00 331 | 9999.00 364 | 9999.00 352 | 9999.00 356 | 9999.00 349 | 9999.00 357 | 9999.00 354 | 9999.00 354 | 9999.00 355 | 9999.00 353 |
|
| patch_mono-2 | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| dcpmvs_2 | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| DCPMVS | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| UA-Net | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| uncertanet | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| uanet | | | 10000.00 325 | 10000.00 328 | 10000.00 342 | 10000.00 360 | 10000.00 362 | 10000.00 332 | 10000.00 365 | 10000.00 353 | 10000.00 357 | 10000.00 350 | 10000.00 358 | 10000.00 355 | 10000.00 355 | 10000.00 356 | 10000.00 354 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 333 | 22805.00 336 | 25097.33 349 | 15500.00 366 | 19201.00 368 | 42712.00 361 | 6055.00 362 | 38388.00 363 | 16926.00 363 | 38534.00 360 | 7071.00 356 | 35653.00 363 | 29475.00 363 | 10584.00 362 | 20438.00 361 |
| 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 | | | 32606.17 334 | 34443.44 337 | 27094.33 350 | 29249.00 367 | 25246.00 369 | 51144.00 362 | 6705.00 363 | 42886.00 364 | 22888.00 364 | 48534.00 361 | 13263.00 364 | 37507.00 364 | 79298.00 364 | 16024.00 363 | 18530.00 360 |
|
| 114514_t | | | 99999.00 335 | 99999.00 338 | 99999.00 351 | 99999.00 368 | 99999.00 370 | 99999.00 363 | 99999.00 371 | 99999.00 365 | 99999.00 365 | 99999.00 362 | 99999.00 365 | 99999.00 365 | 99999.00 365 | 99999.00 364 | 99999.00 362 |
|
| PHI-MVS | | | 99999.00 335 | 99999.00 338 | 99999.00 351 | 99999.00 368 | 99999.00 370 | 99999.00 363 | 99999.00 371 | 99999.00 365 | 99999.00 365 | 99999.00 362 | 99999.00 365 | 99999.00 365 | 99999.00 365 | 99999.00 364 | 99999.00 362 |
|
| XVG-OURS-SEG-HR | | | 999999.00 339 | 999999.00 340 | 999999.00 353 | 999999.00 370 | 999999.00 372 | 999999.00 365 | 999999.00 373 | 999999.00 367 | 999999.00 367 | 999999.00 364 | 999999.00 367 | 999999.00 367 | 999999.00 367 | 999999.00 366 | 999999.00 364 |
|
| XVG-OURS | | | 999999.00 339 | 999999.00 340 | 999999.00 353 | 999999.00 370 | 999999.00 372 | 999999.00 365 | 999999.00 373 | 999999.00 367 | 999999.00 367 | 999999.00 364 | 999999.00 367 | 999999.00 367 | 999999.00 367 | 999999.00 366 | 999999.00 364 |
|
| XVG-ACMP-BASELINE | | | 999999.00 339 | 999999.00 340 | 999999.00 353 | 999999.00 370 | 999999.00 372 | 999999.00 365 | 999999.00 373 | 999999.00 367 | 999999.00 367 | 999999.00 364 | 999999.00 367 | 999999.00 367 | 999999.00 367 | 999999.00 366 | 999999.00 364 |
|
| MED-MVS test | | | | | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 21344.80 353 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MED-MVS | | | 9168445.40 342 | 8891260.53 345 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 21344.80 353 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| TestfortrainingZip a | | | 9168445.40 342 | 8891260.53 345 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 21344.80 353 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| mamba_0408 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| icg_test_0407_2 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SSM_04072 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SSM_0407 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| IMVS_0407 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| IMVS_0404 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SSM_0404 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| IMVS_0403 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SD_0403 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| ME-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| NormalMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| lecture | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SymmetryMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Elysia | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| StellarMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| KinetiMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| LuminaMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| VortexMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| AstraMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| guyue | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| sc_t1 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tt0320-xc | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tt0320 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MVSMamba_PlusPlus | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MGCFI-Net | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| sasdasda | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| dmvs_re | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SDMVSNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| dmvs_testset | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| sd_testset | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| balanced_conf03 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MonoMVSNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test2506 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test1111 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| ECVR-MVS |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test_blank | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tt0805 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Anonymous20240521 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| cl22 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| miper_ehance_all_eth | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| miper_enhance_ethall | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| cl____ | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| DIV-MVS_self_test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| eth_miper_zixun_eth | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| UniMVSNet_ETH3D | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| miper_lstm_enhance | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| D2MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test_yl | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| thisisatest0530 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Anonymous20240529 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Anonymous202405211 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| DCV-MVSNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tttt0517 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| our_test_3 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| thisisatest0515 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| ppachtmachnet_test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SMA-MVS |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| 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 |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 10000000.00 373 | 10000000.00 375 | | | | 10000000.00 370 | | | | | | |
|
| thres100view900 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tfpnnormal | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| tfpn200view9 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| c3_l | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| IterMVS-SCA-FT | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pmmvs6 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pmmvs5 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Anonymous20231211 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pmmvs-eth3d | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Anonymous20231206 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| SCA | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Patchmatch-test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Patchmatch-RL test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| canonicalmvs | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| anonymousdsp | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| FIs | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| FC-MVSNet-test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| sosnet-low-res | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| AllTest | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| TestCases | | | | | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| RRT-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| balanced_ft_v1 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| HPM-MVS++ |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| XVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pm-mvs1 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| X-MVStestdata | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| APDe-MVS |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pmmvs4 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test-LLR | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| TESTMET0.1,1 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test-mter | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| testgi | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test20.03 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| thres600view7 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MP-MVS |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| thres400 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test123 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| thres200 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| test0.0.03 1 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| pmmvs3 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| EMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| E-PMN | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PGM-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MCST-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| MVS_Test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PMMVS2 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PM-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| HQP_MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| plane_prior3 | | | | | | | 10000000.00 375 | | | 10000000.00 370 | 10000000.00 370 | | | | | | |
|
| mPP-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| mvsmamba | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| HPM-MVS_fast | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| HPM-MVS |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| LGP-MVS_train | | | | | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| EPNet_dtu | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP-NCC | | | | | | 10000000.00 373 | | 10000000.00 368 | | 10000000.00 370 | 10000000.00 370 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 373 | | 10000000.00 368 | | 10000000.00 370 | 10000000.00 370 | | | | | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 370 | | | 10000000.00 370 | | | 10000000.00 367 |
|
| CNVR-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| NCCC | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| CP-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| CPTT-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| HQP-MVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| IS-MVSNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PAPM_NR | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PAPR | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PatchMatch-RL | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| TDRefinement | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| EPP-MVSNet | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PMMVS | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| PAPM | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| ACMMP |  | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
| 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 | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| wuyk23d | | | 10000000.00 344 | 10000000.00 347 | 10000000.00 356 | 10000000.00 373 | 10000000.00 375 | 10000000.00 368 | 10000000.00 376 | 10000000.00 370 | 10000000.00 370 | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| APD-MVS |  | | 1000000000.00 476 | 1000000000.00 479 | 1000000000.00 493 | 1000000000.00 518 | 1000000000.00 518 | 1000000000.00 505 | 1000000000.00 518 | 1000000000.00 511 | 1000000000.00 512 | 1000000000.00 509 | 1000000000.00 513 | 1000000000.00 512 | 1000000000.00 511 | 1000000000.00 510 | 1000000000.00 508 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| TestfortrainingZip | | | | | | | | 21344.80 353 | | | | | | | | | |
|
| WAC-MVS | | | | | | | 248.46 234 | | | | | | | | 422.23 227 | | |
|
| MSC_two_6792asdad | | | | | 2237.56 325 | 2643.17 341 | 2465.14 344 | | 493.26 318 | | | | | 3088.29 341 | 6075.14 341 | 1078.39 333 | 1159.26 331 |
|
| No_MVS | | | | | 2237.56 325 | 2643.17 341 | 2465.14 344 | | 493.26 318 | | | | | 3088.29 341 | 6075.14 341 | 1078.39 333 | 1159.26 331 |
|
| eth-test2 | | | | | | 1.42 127 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 373 | | | | | | | | | | | |
|
| OPU-MVS | | | | | 2451.45 333 | 2725.60 346 | 2598.35 350 | 9203.30 326 | | | | 6894.28 332 | 887.23 336 | 3023.43 337 | 5973.88 337 | 1620.04 345 | 1732.56 341 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test_0728_SECOND | | | | | 1451.45 304 | 1725.60 313 | 1598.35 317 | 9203.30 326 | 315.86 293 | | | | | 2023.43 315 | 3973.88 320 | 620.04 291 | 732.56 296 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 367 |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 370 | | | | 10000000.00 367 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 370 | | | | |
|
| MTGPA |  | | | | | | | | 10000000.00 376 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 368 | | | | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | 10000000.00 370 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 367 | 10000000.00 370 | 10000000.00 370 | | | |
|
| MTMP | | | | | | | | 10000000.00 368 | 10000000.00 376 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 270 | 600.33 278 | | | 579.21 227 | | 567.40 223 | | 531.67 258 | 503.93 234 | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 新几何2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 无先验 | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 373 | 10000000.00 375 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 373 | 10000000.00 375 | | | | | | 10000000.00 370 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 376 | | | | | 10000000.00 370 | 10000000.00 370 | 10000000.00 369 | 10000000.00 367 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 367 | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 368 | | 10000000.00 370 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 373 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 121 | 2.00 159 | | 2.00 160 | | | | | | 2.00 158 | |
|
| n2 | | | | | | | | | 14.20 201 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 129 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 129 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 122 | | | | | | | | |
|
| door | | | | | | | | | 99.00 254 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 375 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 370 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 376 | | | | | | | 10000000.00 369 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 370 | | | | |
|
| NP-MVS | | | | | | 10000000.00 373 | 10000000.00 375 | | | | | 10000000.00 367 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 369 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 369 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 340 | | | | |
|