| 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 78 | 0.30 79 | 0.30 83 | 0.30 90 | 0.30 90 | 0.30 90 | 0.30 91 | 0.30 90 | 0.30 89 | 0.30 87 | 0.30 89 | 0.30 90 | 0.30 88 | 0.30 88 | 0.30 88 |
|
| hse-mvs2 | | | 0.30 78 | 0.30 79 | 0.30 83 | 0.30 90 | 0.30 90 | 0.30 90 | 0.30 91 | 0.30 90 | 0.30 89 | 0.30 87 | 0.30 89 | 0.30 90 | 0.30 88 | 0.30 88 | 0.30 88 |
|
| CL-MVSNet_self_test | | | 0.30 78 | 0.30 79 | 0.30 83 | 0.30 90 | 0.30 90 | 0.30 90 | 0.30 91 | 0.30 90 | 0.30 89 | 0.30 87 | 0.30 89 | 0.30 90 | 0.30 88 | 0.30 88 | 0.30 88 |
|
| AUN-MVS | | | 0.30 78 | 0.30 79 | 0.30 83 | 0.30 90 | 0.30 90 | 0.30 90 | 0.30 91 | 0.30 90 | 0.30 89 | 0.30 87 | 0.30 89 | 0.30 90 | 0.30 88 | 0.30 88 | 0.30 88 |
|
| LCM-MVSNet | | | 0.37 82 | 0.36 83 | 0.37 87 | 0.37 94 | 0.37 94 | 0.37 94 | 0.32 95 | 0.37 94 | 0.37 93 | 0.37 91 | 0.37 93 | 0.37 94 | 0.37 92 | 0.37 92 | 0.37 92 |
|
| v144192 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v1921920 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v1192 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v1144 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v148 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v7n | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v1240 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v8 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v10 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| v2v482 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| V42 | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| GA-MVS | | | 0.40 83 | 0.40 84 | 0.40 88 | 0.40 95 | 0.40 95 | 0.40 95 | 0.40 97 | 0.40 95 | 0.40 94 | 0.40 92 | 0.40 94 | 0.40 95 | 0.40 93 | 0.40 93 | 0.40 93 |
|
| Fast-Effi-MVS+ | | | 0.41 95 | 0.40 84 | 0.41 100 | 0.41 107 | 0.41 107 | 0.41 107 | 0.35 96 | 0.41 107 | 0.41 106 | 0.41 104 | 0.41 106 | 0.41 107 | 0.41 105 | 0.41 105 | 0.41 105 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 96 | 0.44 97 | 0.44 101 | 0.44 108 | 0.44 108 | 0.44 108 | 0.44 109 | 0.44 108 | 0.44 107 | 0.44 105 | 0.44 107 | 0.44 108 | 0.44 106 | 0.44 106 | 0.44 106 |
|
| Effi-MVS+-dtu | | | 0.59 98 | 0.61 100 | 0.53 102 | 0.68 116 | 0.53 109 | 0.53 109 | 0.68 117 | 0.68 116 | 0.53 108 | 0.53 106 | 0.68 115 | 0.53 109 | 0.68 114 | 0.53 107 | 0.53 107 |
|
| KD-MVS_self_test | | | 0.60 99 | 0.60 99 | 0.60 103 | 0.60 110 | 0.60 110 | 0.60 111 | 0.60 111 | 0.60 110 | 0.60 109 | 0.60 107 | 0.60 109 | 0.60 110 | 0.60 107 | 0.60 109 | 0.60 108 |
|
| EIA-MVS | | | 0.62 100 | 0.62 101 | 0.62 104 | 0.62 111 | 0.62 111 | 0.62 112 | 0.62 112 | 0.62 111 | 0.62 110 | 0.62 108 | 0.62 110 | 0.62 111 | 0.62 108 | 0.62 110 | 0.62 109 |
|
| ETV-MVS | | | 0.62 100 | 0.62 101 | 0.62 104 | 0.62 111 | 0.62 111 | 0.62 112 | 0.62 112 | 0.62 111 | 0.62 110 | 0.62 108 | 0.62 110 | 0.62 111 | 0.62 108 | 0.62 110 | 0.62 109 |
|
| CS-MVS | | | 0.62 100 | 0.62 101 | 0.62 104 | 0.62 111 | 0.62 111 | 0.62 112 | 0.62 112 | 0.62 111 | 0.62 110 | 0.62 108 | 0.62 110 | 0.62 111 | 0.62 108 | 0.62 110 | 0.62 109 |
|
| SPE-MVS-test | | | 0.62 100 | 0.62 101 | 0.62 104 | 0.62 111 | 0.62 111 | 0.62 112 | 0.62 112 | 0.62 111 | 0.62 110 | 0.62 108 | 0.62 110 | 0.62 111 | 0.62 108 | 0.62 110 | 0.62 109 |
|
| Effi-MVS+ | | | 0.58 97 | 0.56 98 | 0.62 104 | 0.53 109 | 0.62 111 | 0.53 109 | 0.53 110 | 0.53 109 | 0.62 110 | 0.62 108 | 0.53 108 | 0.62 111 | 0.62 108 | 0.53 107 | 0.62 109 |
|
| EC-MVSNet | | | 0.62 100 | 0.62 101 | 0.62 104 | 0.62 111 | 0.62 111 | 0.62 112 | 0.62 112 | 0.62 111 | 0.62 110 | 0.62 108 | 0.62 110 | 0.62 111 | 0.62 108 | 0.62 110 | 0.62 109 |
|
| CDS-MVSNet | | | 0.88 105 | 0.88 106 | 0.88 110 | 0.88 117 | 0.88 117 | 0.88 117 | 0.88 118 | 0.88 117 | 0.88 116 | 0.88 114 | 0.88 116 | 0.88 117 | 0.88 115 | 0.88 115 | 0.88 115 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 105 | 0.88 106 | 0.88 110 | 0.88 117 | 0.88 117 | 0.88 117 | 0.88 118 | 0.88 117 | 0.88 116 | 0.88 114 | 0.88 116 | 0.88 117 | 0.88 115 | 0.88 115 | 0.88 115 |
|
| LCM-MVSNet-Re | | | 0.89 107 | 0.89 108 | 0.89 112 | 0.89 119 | 0.89 119 | 0.89 119 | 0.89 120 | 0.89 119 | 0.89 118 | 0.89 116 | 0.89 118 | 0.89 119 | 0.89 117 | 0.89 117 | 0.89 117 |
|
| DeepMVS_CX |  | | | | 1.00 113 | 1.00 120 | 1.00 120 | | 1.00 121 | 1.00 120 | 1.00 119 | 1.00 117 | 1.00 119 | 1.00 120 | 1.00 118 | 1.00 118 | 1.00 118 |
|
| MDA-MVSNet-bldmvs | | | 1.20 108 | 1.20 109 | 1.20 114 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 123 | 1.20 121 | 1.20 120 | 1.20 118 | 1.20 120 | 1.20 121 | 1.20 119 | 1.20 119 | 1.20 119 |
|
| YYNet1 | | | 1.20 108 | 1.20 109 | 1.20 114 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 123 | 1.20 121 | 1.20 120 | 1.20 118 | 1.20 120 | 1.20 121 | 1.20 119 | 1.20 119 | 1.20 119 |
|
| MDA-MVSNet_test_wron | | | 1.20 108 | 1.20 109 | 1.20 114 | 1.20 121 | 1.20 122 | 1.20 120 | 1.20 123 | 1.20 121 | 1.20 120 | 1.20 118 | 1.20 120 | 1.20 121 | 1.20 119 | 1.20 119 | 1.20 119 |
|
| KD-MVS_2432*1600 | | | 1.30 111 | 1.30 112 | 1.30 117 | 1.30 124 | 1.30 125 | 1.30 123 | 1.30 126 | 1.30 124 | 1.30 123 | 1.30 121 | 1.30 123 | 1.30 124 | 1.30 122 | 1.30 122 | 1.30 122 |
|
| miper_refine_blended | | | 1.30 111 | 1.30 112 | 1.30 117 | 1.30 124 | 1.30 125 | 1.30 123 | 1.30 126 | 1.30 124 | 1.30 123 | 1.30 121 | 1.30 123 | 1.30 124 | 1.30 122 | 1.30 122 | 1.30 122 |
|
| EI-MVSNet-UG-set | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| EI-MVSNet-Vis-set | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| EI-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| Regformer | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| CVMVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| EU-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| PS-CasMVS | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| PEN-MVS | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| TransMVSNet (Re) | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| DTE-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| DU-MVS | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| UniMVSNet (Re) | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| CP-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| WR-MVS_H | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| WR-MVS | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| NR-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| Baseline_NR-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| MVSFormer | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| jason | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
| jason: jason. |
| lupinMVS | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| test_djsdf | | | 1.42 113 | 1.42 114 | 1.42 119 | 1.42 126 | 1.42 127 | 1.42 125 | 1.42 128 | 1.42 126 | 1.42 125 | 1.42 123 | 1.42 125 | 1.42 126 | 1.42 124 | 1.42 124 | 1.42 124 |
|
| reproduce_monomvs | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| mmtdpeth | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| reproduce_model | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| reproduce-ours | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| our_new_method | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| mmdepth | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| monomultidepth | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| mvs5depth | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| MVStest1 | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| ttmdpeth | | | 1.48 136 | 1.48 137 | 1.48 142 | 1.48 150 | 1.48 150 | 1.48 148 | 1.48 153 | 1.48 149 | 1.48 148 | 1.48 146 | 1.48 148 | 1.48 149 | 1.48 147 | 1.48 147 | 1.48 147 |
|
| alignmvs | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| nrg030 | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| LFMVS | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| VDD-MVS | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| VDDNet | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| VPNet | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| VNet | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| VPA-MVSNet | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| cascas | | | 2.00 146 | 2.00 147 | 2.00 152 | 2.00 160 | 2.00 160 | 2.00 158 | 2.00 163 | 2.00 159 | 2.00 158 | 2.00 156 | 2.00 158 | 2.00 159 | 2.00 157 | 2.00 157 | 2.00 157 |
|
| UnsupCasMVSNet_eth | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| UnsupCasMVSNet_bld | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| WTY-MVS | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| HY-MVS | | 5.90 1 | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| sss | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| Test_1112_low_res | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| 1112_ss | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| ab-mvs-re | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| ab-mvs | | | 5.90 155 | 5.90 156 | 5.90 161 | 5.90 169 | 5.90 169 | 5.90 168 | 5.90 175 | 5.90 169 | 5.90 167 | 5.90 165 | 5.90 169 | 5.90 168 | 5.90 166 | 5.90 169 | 5.90 169 |
|
| CDPH-MVS | | | 6.66 164 | 6.66 165 | 6.66 170 | 6.66 178 | 6.66 178 | 6.66 177 | 6.66 184 | 6.66 178 | 6.66 176 | 6.66 174 | 6.66 178 | 6.66 177 | 6.66 175 | 6.66 178 | 6.66 178 |
|
| dp | | | 87.20 184 | 113.80 188 | 7.42 171 | 10.50 190 | 8.88 179 | 298.82 205 | 2.70 172 | 510.35 224 | 7.79 177 | 172.93 198 | 3.37 167 | 9.16 178 | 14.00 189 | 3.71 167 | 4.23 167 |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 180 | 9.99 178 | | 9.99 179 | 9.99 178 | | 9.99 180 | | 9.99 176 | | 9.99 179 |
|
| MDTV_nov1_ep13 | | | | 9.99 166 | | 9.99 179 | 9.99 180 | 9.99 178 | 9.99 186 | 9.99 179 | 9.99 178 | 9.99 175 | 9.99 180 | 9.99 179 | 9.99 176 | 9.99 180 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| xiu_mvs_v2_base | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| xiu_mvs_v1_base | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| xiu_mvs_v1_base_debi | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| cdsmvs_eth3d_5k | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| pcd_1.5k_mvsjas | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| PS-MVSNAJss | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| PS-MVSNAJ | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| jajsoiax | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| mvs_tets | | | 10.28 165 | 10.28 167 | 10.28 172 | 10.28 180 | 10.28 182 | 10.28 180 | 10.28 187 | 10.28 181 | 10.28 180 | 10.28 176 | 10.28 182 | 10.28 180 | 10.28 178 | 10.28 181 | 10.28 180 |
|
| test_method | | | 18.29 177 | 20.89 179 | 10.50 182 | 15.00 192 | 13.00 194 | 55.00 197 | 3.00 173 | 34.00 194 | 11.50 190 | 32.50 188 | 5.00 168 | 13.50 191 | 27.00 192 | 5.00 168 | 5.00 168 |
|
| SR-MVS-dyc-post | | | 11.55 175 | 11.55 177 | 11.55 184 | 11.55 191 | 11.55 193 | 11.55 190 | 11.55 199 | 11.55 191 | 11.55 191 | 11.55 186 | 11.55 193 | 11.55 190 | 11.55 188 | 11.55 191 | 11.55 190 |
|
| GeoE | | | 19.41 178 | 22.09 180 | 11.37 183 | 17.21 194 | 11.30 192 | 50.50 196 | 4.30 174 | 33.60 193 | 11.70 192 | 44.50 193 | 7.30 179 | 18.90 193 | 22.60 191 | 7.10 179 | 3.90 166 |
|
| XXY-MVS | | | 15.00 176 | 15.00 178 | 15.00 185 | 15.00 192 | 15.00 195 | 15.00 191 | 15.00 201 | 15.00 192 | 15.00 193 | 15.00 187 | 15.00 197 | 15.00 192 | 15.00 190 | 15.00 193 | 15.00 192 |
|
| GBi-Net | | | 44.67 183 | 49.24 185 | 30.96 186 | 47.53 199 | 47.57 200 | 126.09 198 | 8.00 185 | 76.99 199 | 26.09 194 | 73.50 195 | 11.27 192 | 30.55 194 | 61.12 197 | 12.58 192 | 14.75 191 |
|
| BH-w/o | | | 40.00 179 | 40.00 181 | 40.00 187 | 40.00 195 | 40.00 196 | 40.00 192 | 40.00 220 | 40.00 195 | 40.00 195 | 40.00 189 | 40.00 214 | 40.00 195 | 40.00 193 | 40.00 207 | 40.00 203 |
|
| BH-untuned | | | 40.00 179 | 40.00 181 | 40.00 187 | 40.00 195 | 40.00 196 | 40.00 192 | 40.00 220 | 40.00 195 | 40.00 195 | 40.00 189 | 40.00 214 | 40.00 195 | 40.00 193 | 40.00 207 | 40.00 203 |
|
| BH-RMVSNet | | | 40.00 179 | 40.00 181 | 40.00 187 | 40.00 195 | 40.00 196 | 40.00 192 | 40.00 220 | 40.00 195 | 40.00 195 | 40.00 189 | 40.00 214 | 40.00 195 | 40.00 193 | 40.00 207 | 40.00 203 |
|
| TR-MVS | | | 40.00 179 | 40.00 181 | 40.00 187 | 40.00 195 | 40.00 196 | 40.00 192 | 40.00 220 | 40.00 195 | 40.00 195 | 40.00 189 | 40.00 214 | 40.00 195 | 40.00 193 | 40.00 207 | 40.00 203 |
|
| new_pmnet | | | 88.14 185 | 98.62 186 | 56.70 191 | 98.14 206 | 56.07 201 | 246.79 200 | 15.37 202 | 148.06 200 | 50.77 199 | 143.13 196 | 23.35 198 | 62.65 199 | 93.26 198 | 68.71 217 | 51.38 213 |
|
| N_pmnet | | | 88.14 185 | 98.62 186 | 56.70 191 | 98.14 206 | 56.07 201 | 246.79 200 | 15.37 202 | 148.06 200 | 50.77 199 | 143.13 196 | 23.35 198 | 62.65 199 | 93.26 198 | 68.71 217 | 51.38 213 |
|
| MTAPA | | | 833442.10 337 | 1111233.77 343 | 67.09 193 | 65.59 200 | 64.81 203 | 284.50 202 | 10000000.00 375 | 219.97 205 | 59.62 201 | 229.89 209 | 12.72 194 | 103.00 214 | 203.67 215 | 27.93 194 | 33.46 193 |
|
| MP-MVS-pluss | | | 833433.63 336 | 1111219.60 342 | 75.70 197 | 74.28 201 | 73.29 204 | 284.50 202 | 11.35 197 | 238.58 206 | 65.86 202 | 255.35 214 | 14.55 195 | 115.69 216 | 10000000.00 369 | 31.94 195 | 38.12 201 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 190 | 133.18 192 | 75.70 197 | 74.28 201 | 73.29 204 | 284.50 202 | 11.35 197 | 238.58 206 | 65.86 202 | 255.35 214 | 14.55 195 | 115.69 216 | 222.18 216 | 31.94 195 | 38.12 201 |
|
| CANet | | | 110.62 187 | 124.04 189 | 70.34 194 | 82.03 203 | 74.27 206 | 325.54 206 | 25.25 205 | 207.16 202 | 69.28 204 | 194.38 199 | 27.53 200 | 95.79 208 | 147.76 202 | 37.43 197 | 40.97 207 |
|
| CANet_DTU | | | 110.62 187 | 124.04 189 | 70.34 194 | 82.03 203 | 74.27 206 | 325.54 206 | 25.25 205 | 207.16 202 | 69.28 204 | 194.38 199 | 27.53 200 | 95.79 208 | 147.76 202 | 37.43 197 | 40.97 207 |
|
| UGNet | | | 110.62 187 | 124.04 189 | 70.34 194 | 82.03 203 | 74.27 206 | 325.54 206 | 25.25 205 | 207.16 202 | 69.28 204 | 194.38 199 | 27.53 200 | 95.79 208 | 147.76 202 | 37.43 197 | 40.97 207 |
| 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 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| test1 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| FMVSNet3 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| FMVSNet2 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| FMVSNet1 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| MIMVSNet1 | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| MIMVSNet | | | 124.76 191 | 140.93 193 | 76.26 199 | 107.44 209 | 100.17 213 | 329.88 209 | 27.12 211 | 259.44 211 | 74.30 207 | 204.34 202 | 30.74 203 | 92.41 201 | 196.98 205 | 38.15 200 | 36.19 194 |
|
| PVSNet_Blended_VisFu | | | 136.90 199 | 155.40 201 | 81.40 206 | 111.00 216 | 96.20 210 | 407.00 216 | 25.90 208 | 251.60 208 | 85.10 214 | 240.50 210 | 37.00 210 | 99.90 211 | 199.80 212 | 40.70 211 | 48.10 210 |
|
| PVSNet_BlendedMVS | | | 136.90 199 | 155.40 201 | 81.40 206 | 111.00 216 | 96.20 210 | 407.00 216 | 25.90 208 | 251.60 208 | 85.10 214 | 240.50 210 | 37.00 210 | 99.90 211 | 199.80 212 | 40.70 211 | 48.10 210 |
|
| PVSNet_Blended | | | 136.90 199 | 155.40 201 | 81.40 206 | 111.00 216 | 96.20 210 | 407.00 216 | 25.90 208 | 251.60 208 | 85.10 214 | 240.50 210 | 37.00 210 | 99.90 211 | 199.80 212 | 40.70 211 | 48.10 210 |
|
| DSMNet-mixed | | | 131.33 198 | 143.00 200 | 96.33 209 | 99.00 208 | 81.00 209 | 201.00 199 | 45.00 225 | 335.00 218 | 99.00 217 | 251.00 213 | 38.00 213 | 110.00 215 | 120.00 201 | 99.00 223 | 98.00 219 |
|
| BP-MVS1 | | | 202.65 202 | 232.15 204 | 114.16 210 | 183.40 220 | 141.78 220 | 655.87 224 | 24.69 204 | 372.56 219 | 109.76 218 | 356.89 216 | 47.15 218 | 139.51 218 | 284.15 218 | 54.86 214 | 61.20 215 |
|
| FE-MVS | | | 207.10 203 | 234.26 205 | 125.61 211 | 180.34 219 | 153.23 221 | 635.64 223 | 30.05 218 | 378.38 220 | 127.68 219 | 377.08 217 | 48.95 219 | 154.43 219 | 266.67 217 | 63.56 215 | 69.18 216 |
|
| GDP-MVS | | | 219.79 204 | 249.11 206 | 131.85 212 | 187.15 221 | 155.97 222 | 667.31 225 | 30.57 219 | 398.95 221 | 131.26 220 | 387.86 218 | 58.83 221 | 164.55 220 | 315.00 219 | 65.03 216 | 75.04 217 |
|
| FA-MVS(test-final) | | | 261.15 205 | 293.29 207 | 164.72 213 | 236.23 224 | 199.99 227 | 800.05 231 | 42.35 224 | 475.87 223 | 155.47 221 | 470.67 220 | 58.49 220 | 205.24 222 | 319.44 220 | 81.03 220 | 88.93 218 |
|
| kuosan | | | 267.89 207 | 301.05 209 | 168.41 214 | 244.05 225 | 177.28 223 | 667.98 226 | 65.76 227 | 533.41 225 | 157.79 222 | 492.01 221 | 104.69 236 | 226.72 223 | 364.47 223 | 79.31 219 | 101.21 221 |
|
| DP-MVS | | | 264.78 206 | 296.02 208 | 171.04 215 | 191.70 222 | 183.96 224 | 827.10 232 | 78.36 236 | 438.24 222 | 176.64 223 | 435.12 219 | 65.04 223 | 230.52 225 | 334.02 221 | 117.96 231 | 98.64 220 |
|
| SSC-MVS | | | 320.23 209 | 364.09 211 | 188.66 216 | 260.78 227 | 193.84 225 | 975.93 240 | 73.11 232 | 596.72 230 | 185.29 224 | 589.02 227 | 74.47 225 | 246.01 226 | 427.42 227 | 94.06 222 | 126.12 224 |
|
| WB-MVS | | | 316.44 208 | 357.41 210 | 193.51 217 | 257.06 226 | 213.32 230 | 914.45 234 | 49.03 226 | 600.77 231 | 186.42 225 | 634.00 233 | 75.03 226 | 251.35 227 | 411.39 224 | 88.55 221 | 115.87 223 |
|
| UWE-MVS-28 | | | 327.73 210 | 369.67 212 | 201.90 218 | 281.09 233 | 210.75 228 | 832.98 233 | 74.67 235 | 680.98 238 | 198.23 226 | 613.42 230 | 112.56 239 | 259.80 228 | 418.76 225 | 114.35 225 | 135.15 230 |
|
| dongtai | | | 360.45 213 | 401.64 215 | 236.89 223 | 303.10 234 | 262.16 238 | 963.12 237 | 72.78 230 | 622.82 234 | 199.37 227 | 708.06 236 | 130.96 244 | 310.90 233 | 506.46 237 | 108.11 224 | 137.60 231 |
|
| testing3 | | | 418.10 221 | 469.06 223 | 265.23 231 | 335.69 238 | 290.63 241 | 1240.88 257 | 93.72 246 | 717.99 240 | 215.31 228 | 811.97 249 | 232.41 283 | 358.74 239 | 458.67 228 | 114.88 226 | 146.32 233 |
|
| testing11 | | | 348.86 212 | 393.09 214 | 216.15 219 | 275.24 230 | 239.53 231 | 915.55 235 | 72.35 229 | 679.89 237 | 215.75 229 | 633.79 232 | 118.08 241 | 276.62 229 | 509.56 238 | 117.61 230 | 132.30 226 |
|
| testing91 | | | 347.05 211 | 389.92 213 | 218.43 220 | 275.92 231 | 241.43 232 | 923.71 236 | 71.70 228 | 667.65 236 | 217.04 230 | 629.00 231 | 113.33 240 | 281.39 230 | 495.50 230 | 115.45 227 | 132.47 227 |
|
| WB-MVSnew | | | 404.84 219 | 458.00 221 | 245.36 225 | 374.70 244 | 320.27 246 | 1193.74 255 | 72.90 231 | 773.77 246 | 238.30 231 | 688.22 235 | 90.05 229 | 308.59 232 | 532.76 241 | 157.54 242 | 107.21 222 |
|
| EG-PatchMatch MVS | | | 437.03 224 | 493.12 228 | 268.77 232 | 264.80 229 | 260.20 237 | 1491.80 263 | 98.00 250 | 723.20 242 | 238.80 232 | 722.40 237 | 63.10 222 | 382.00 245 | 629.00 250 | 207.00 257 | 164.10 240 |
|
| RPSCF | | | 394.81 218 | 445.63 220 | 242.35 224 | 276.55 232 | 253.63 234 | 1207.27 256 | 90.69 245 | 715.56 239 | 241.57 233 | 684.87 234 | 111.96 238 | 320.02 235 | 548.38 242 | 133.81 233 | 153.39 236 |
|
| UWE-MVS | | | 387.98 216 | 438.66 219 | 235.93 221 | 349.32 240 | 257.61 236 | 1081.50 248 | 82.45 240 | 637.74 235 | 257.12 234 | 738.54 238 | 134.25 245 | 308.00 231 | 531.93 240 | 135.11 234 | 142.17 232 |
|
| testing99 | | | 408.82 220 | 462.15 222 | 248.86 227 | 322.45 237 | 269.42 239 | 1118.93 251 | 73.26 233 | 719.36 241 | 262.28 235 | 772.10 240 | 150.98 251 | 327.08 236 | 601.98 246 | 137.99 235 | 150.07 234 |
|
| myMVS_eth3d28 | | | 418.40 222 | 473.07 224 | 254.39 229 | 261.18 228 | 313.04 242 | 1172.79 254 | 74.16 234 | 929.18 254 | 264.68 236 | 745.72 239 | 139.03 249 | 318.91 234 | 549.18 243 | 121.71 232 | 131.21 225 |
|
| Syy-MVS | | | 370.76 214 | 415.60 217 | 236.25 222 | 310.54 235 | 210.76 229 | 965.13 238 | 98.58 251 | 746.06 243 | 266.26 237 | 788.85 243 | 91.37 230 | 364.76 241 | 357.17 222 | 116.42 228 | 133.22 228 |
|
| myMVS_eth3d | | | 390.90 217 | 437.44 218 | 251.28 228 | 310.54 235 | 255.86 235 | 965.13 238 | 98.58 251 | 746.06 243 | 266.26 237 | 788.85 243 | 154.95 252 | 364.76 241 | 490.19 229 | 116.42 228 | 133.22 228 |
|
| ETVMVS | | | 443.50 227 | 498.07 229 | 279.78 233 | 378.05 247 | 321.57 247 | 1163.68 253 | 87.12 241 | 897.50 253 | 269.81 239 | 822.83 250 | 141.20 250 | 334.53 238 | 568.21 245 | 154.21 237 | 183.26 244 |
|
| testing222 | | | 430.52 223 | 487.50 227 | 259.56 230 | 379.87 248 | 282.69 240 | 1138.34 252 | 81.30 238 | 880.86 250 | 281.58 240 | 834.27 251 | 135.83 247 | 333.22 237 | 514.90 239 | 140.56 236 | 162.76 237 |
|
| ADS-MVSNet2 | | | 443.33 225 | 482.84 225 | 324.79 244 | 434.94 257 | 387.73 255 | 1110.57 249 | 87.69 242 | 887.02 251 | 282.92 241 | 779.29 241 | 98.57 234 | 422.76 253 | 502.40 231 | 162.19 246 | 163.87 238 |
|
| ADS-MVSNet | | | 443.33 225 | 482.84 225 | 324.79 244 | 434.94 257 | 387.73 255 | 1110.57 249 | 87.69 242 | 887.02 251 | 282.92 241 | 779.29 241 | 98.57 234 | 422.76 253 | 502.40 231 | 162.19 246 | 163.87 238 |
|
| DP-MVS Recon | | | 516.25 234 | 581.17 235 | 321.48 243 | 361.02 241 | 429.00 259 | 1995.36 271 | 78.48 237 | 796.20 247 | 283.32 243 | 796.02 245 | 96.78 231 | 382.98 246 | 636.72 252 | 186.66 254 | 152.46 235 |
|
| MVP-Stereo | | | 473.58 228 | 533.67 230 | 293.33 235 | 376.00 245 | 318.00 243 | 1461.00 261 | 96.00 247 | 835.00 248 | 290.00 244 | 804.00 246 | 97.00 232 | 383.00 247 | 688.00 258 | 156.00 239 | 179.00 242 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 228 | 533.67 230 | 293.33 235 | 376.00 245 | 318.00 243 | 1461.00 261 | 96.00 247 | 835.00 248 | 290.00 244 | 804.00 246 | 97.00 232 | 383.00 247 | 688.00 258 | 156.00 239 | 179.00 242 |
|
| WBMVS | | | 655.88 240 | 770.84 245 | 310.98 241 | 391.79 251 | 353.00 251 | 2280.68 273 | 99.17 254 | 1776.79 287 | 301.20 246 | 1123.23 269 | 187.34 269 | 390.28 249 | 620.39 249 | 156.98 241 | 189.66 247 |
|
| testing3-2 | | | 489.51 230 | 555.88 233 | 290.42 234 | 362.21 242 | 319.27 245 | 1424.84 260 | 88.81 244 | 964.80 255 | 309.62 247 | 879.13 253 | 174.38 259 | 363.98 240 | 643.82 254 | 155.29 238 | 188.01 245 |
|
| PatchmatchNet |  | | 492.52 231 | 551.22 232 | 316.40 242 | 400.20 253 | 357.90 253 | 1277.10 258 | 115.80 258 | 1034.60 264 | 315.90 248 | 874.00 252 | 155.10 253 | 402.20 250 | 629.50 251 | 158.80 243 | 189.10 246 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| SSC-MVS3.2 | | | 667.82 242 | 787.71 246 | 308.16 239 | 385.94 249 | 327.65 248 | 1718.51 266 | 117.00 260 | 1942.46 292 | 317.12 249 | 1488.73 283 | 183.89 260 | 404.82 251 | 763.70 260 | 172.02 249 | 192.01 249 |
|
| UBG | | | 667.82 242 | 787.71 246 | 308.16 239 | 385.94 249 | 327.65 248 | 1718.51 266 | 117.00 260 | 1942.46 292 | 317.12 249 | 1488.73 283 | 183.89 260 | 404.82 251 | 763.70 260 | 172.02 249 | 192.01 249 |
|
| DELS-MVS | | | 514.57 233 | 587.73 236 | 295.12 237 | 343.03 239 | 328.09 250 | 1540.48 265 | 116.22 259 | 988.59 256 | 325.44 251 | 906.22 254 | 119.86 243 | 365.72 243 | 788.60 262 | 161.09 245 | 191.55 248 |
| 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 | 661.38 241 | 754.00 243 | 383.51 247 | 368.96 243 | 376.38 254 | 2483.74 285 | 82.42 239 | 1089.25 265 | 333.39 252 | 1219.68 270 | 66.53 224 | 573.60 270 | 957.86 268 | 184.14 253 | 200.56 251 |
|
| tpmvs | | | 501.65 232 | 567.42 234 | 304.33 238 | 395.39 252 | 356.32 252 | 1512.04 264 | 216.53 287 | 994.15 257 | 350.16 253 | 804.16 248 | 119.38 242 | 380.98 244 | 555.14 244 | 159.87 244 | 175.69 241 |
|
| IterMVS | | | 615.05 238 | 691.66 241 | 385.23 248 | 516.40 260 | 454.80 260 | 1863.80 269 | 102.10 255 | 1142.20 266 | 364.10 254 | 1093.20 268 | 135.00 246 | 480.40 256 | 826.90 263 | 181.20 251 | 220.50 252 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 239 | 700.96 242 | 362.78 246 | 426.10 256 | 409.25 257 | 1822.69 268 | 124.42 270 | 1186.23 267 | 366.85 255 | 1079.42 266 | 190.60 271 | 451.78 255 | 930.72 267 | 181.59 252 | 227.30 253 |
| 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 | | | 766.12 246 | 859.03 251 | 487.38 261 | 595.68 262 | 536.14 265 | 2346.27 275 | 142.51 275 | 1488.08 274 | 422.43 256 | 1361.32 274 | 163.65 256 | 628.60 275 | 1003.74 277 | 207.61 258 | 297.41 267 |
|
| SixPastTwentyTwo | | | 773.62 247 | 869.37 253 | 486.35 260 | 603.45 264 | 547.15 274 | 2532.14 286 | 106.92 257 | 1434.95 273 | 428.08 257 | 1360.56 273 | 165.15 257 | 628.96 276 | 984.09 269 | 209.01 259 | 282.94 264 |
|
| lessismore_v0 | | | | | 569.20 266 | 667.25 283 | 644.68 283 | | 96.45 249 | | 428.86 258 | 1514.17 285 | 204.21 278 | 756.58 279 | 1061.60 279 | 197.79 256 | 306.34 268 |
|
| IterMVS-LS | | | 758.94 245 | 856.56 250 | 466.10 258 | 606.60 265 | 546.80 273 | 2309.90 274 | 122.20 269 | 1402.80 272 | 463.50 259 | 1348.20 272 | 192.60 272 | 574.60 271 | 1028.60 278 | 234.60 269 | 276.90 263 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| mvs_anonymous | | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
|
| casdiffmvs |  | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
| 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 |  | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
| 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 | | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
|
| baseline1 | | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
|
| casdiffmvs_mvg |  | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
| 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 | | | 774.90 248 | 882.28 254 | 452.77 250 | 636.50 274 | 537.20 266 | 2348.80 276 | 120.30 262 | 1504.30 275 | 474.40 260 | 1371.10 275 | 186.90 262 | 564.70 263 | 1078.90 280 | 219.30 260 | 256.40 254 |
|
| ACMH | | 993.80 5 | 967.92 263 | 1106.11 273 | 553.33 264 | 494.00 259 | 534.00 264 | 3581.00 291 | 136.00 272 | 1585.00 284 | 478.00 267 | 1871.00 290 | 90.00 227 | 839.00 282 | 1460.00 291 | 260.00 270 | 287.00 265 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet | | 1207.94 6 | 829.56 258 | 937.18 261 | 506.69 262 | 645.55 281 | 585.72 276 | 2477.98 284 | 130.52 271 | 1578.29 283 | 509.50 268 | 1460.01 282 | 194.90 273 | 637.19 277 | 1170.78 288 | 267.07 273 | 297.17 266 |
|
| Gipuma |  | | 689.75 244 | 767.00 244 | 458.00 257 | 613.00 272 | 549.00 275 | 1943.00 270 | 187.00 284 | 1230.00 268 | 518.00 269 | 1092.00 267 | 203.00 277 | 564.00 262 | 892.00 266 | 225.00 267 | 261.00 261 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS |  | 863.65 3 | 957.08 262 | 1054.11 271 | 666.00 276 | 401.00 254 | 495.00 262 | 3790.00 293 | 279.00 289 | 1607.00 285 | 521.00 270 | 1745.00 288 | 90.00 227 | 1105.00 299 | 639.00 253 | 415.00 284 | 398.00 281 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| K. test v3 | | | 877.74 260 | 980.16 263 | 570.46 267 | 1316.85 306 | 813.15 292 | 2565.52 287 | 103.78 256 | 1509.49 282 | 548.33 271 | 1258.90 271 | 219.93 282 | 587.82 272 | 1102.37 287 | 196.30 255 | 310.42 269 |
|
| GG-mvs-BLEND | | | | | 596.01 268 | 611.29 269 | 600.33 277 | 790.30 228 | 513.12 323 | | 552.71 272 | 567.40 222 | 662.54 327 | 531.67 257 | 503.93 233 | 779.80 305 | 656.02 289 |
|
| gg-mvs-nofinetune | | | 594.69 235 | 605.37 237 | 562.67 265 | 617.29 273 | 500.33 263 | 772.30 227 | 413.12 308 | 579.21 226 | 552.71 272 | 567.40 222 | 662.54 327 | 531.67 257 | 503.93 233 | 779.80 305 | 656.02 289 |
|
| CR-MVSNet | | | 612.36 237 | 617.81 240 | 596.01 268 | 611.29 269 | 600.33 277 | 790.30 228 | 513.12 323 | 579.21 226 | 552.71 272 | 567.40 222 | 662.54 327 | 531.67 257 | 503.93 233 | 779.80 305 | 656.02 289 |
|
| MVSTER | | | 890.06 261 | 1005.91 270 | 542.52 263 | 736.13 286 | 653.90 284 | 2616.56 288 | 145.22 277 | 1692.10 286 | 555.69 275 | 1554.72 286 | 266.25 284 | 660.02 278 | 1219.66 289 | 266.84 272 | 313.64 270 |
|
| ACMP | | 1246.57 7 | 1086.24 271 | 1235.17 275 | 639.45 271 | 596.53 263 | 639.91 282 | 3904.24 294 | 152.04 278 | 1851.54 289 | 566.58 276 | 1997.95 292 | 138.50 248 | 938.30 286 | 1605.46 293 | 303.70 279 | 340.14 272 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PVSNet_0 | | 1661.03 9 | 968.54 264 | 1066.82 272 | 673.70 277 | 706.94 284 | 695.69 285 | 2669.02 289 | 153.52 279 | 2108.17 295 | 605.54 277 | 1679.14 287 | 213.26 281 | 886.75 285 | 1236.76 290 | 229.01 268 | 438.67 282 |
|
| tmp_tt | | | 371.08 215 | 412.78 216 | 246.00 226 | 231.00 223 | 197.00 226 | 1293.00 259 | 376.00 300 | 756.00 245 | 609.00 278 | 71.00 194 | 106.00 237 | 195.00 221 | 102.00 200 | 171.00 248 | 346.00 274 |
|
| RE-MVS-def | | | | 610.10 238 | | 610.10 267 | 610.10 280 | 610.10 221 | 610.10 332 | 610.10 232 | 610.10 279 | 610.10 228 | 610.10 315 | | 610.10 247 | 610.10 288 | 610.10 286 |
|
| SR-MVS | | | 610.10 236 | 610.10 238 | 610.10 270 | 610.10 267 | 610.10 280 | 610.10 221 | 610.10 332 | 610.10 232 | 610.10 279 | 610.10 228 | 610.10 315 | 610.10 273 | 610.10 247 | 610.10 288 | 610.10 286 |
|
| MSLP-MVS++ | | | 1242.93 276 | 1411.08 279 | 738.48 281 | 712.71 285 | 712.68 286 | 4168.17 296 | 136.50 273 | 2276.40 297 | 613.28 281 | 2368.60 297 | 161.61 255 | 1130.38 300 | 1964.54 300 | 297.88 276 | 372.39 277 |
|
| MVS_111021_LR | | | 1136.45 274 | 1298.72 277 | 649.64 272 | 756.17 287 | 726.26 288 | 3785.94 292 | 138.15 274 | 2190.64 296 | 629.63 282 | 2064.39 293 | 165.45 258 | 874.83 284 | 1678.43 296 | 279.70 274 | 347.82 275 |
|
| ACMMPR | | | 1296.60 278 | 1480.82 281 | 743.96 282 | 899.25 291 | 763.47 290 | 4305.47 297 | 143.90 276 | 2530.94 300 | 683.99 283 | 2346.34 296 | 201.65 276 | 1098.25 298 | 1920.59 299 | 295.21 275 | 370.16 276 |
|
| test_0402 | | | 1110.00 273 | 1260.00 276 | 660.00 273 | 900.00 292 | 780.00 291 | 3300.00 290 | 210.00 286 | 2040.00 294 | 690.00 284 | 1950.00 291 | 300.00 288 | 810.00 281 | 1620.00 294 | 330.00 280 | 390.00 280 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 281 | 1886.82 285 | 481.89 259 | 847.73 288 | 830.16 293 | 7943.84 318 | 189.23 285 | 2398.83 298 | 691.73 285 | 2341.13 295 | 209.16 279 | 230.25 224 | 1999.25 301 | 360.46 281 | 385.25 279 |
| 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 | 1165.06 275 | 1332.72 278 | 662.07 275 | 584.90 261 | 715.99 287 | 4373.59 298 | 153.99 280 | 1880.27 290 | 709.02 286 | 2316.97 294 | 188.63 270 | 939.89 287 | 1484.30 292 | 302.78 278 | 330.34 271 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 279 | 1622.84 283 | 678.81 278 | 952.13 293 | 840.17 294 | 5358.21 302 | 170.75 282 | 2650.47 301 | 713.54 287 | 2394.28 298 | 209.42 280 | 855.56 283 | 1854.36 298 | 302.42 277 | 340.71 273 |
|
| MG-MVS | | | 1256.50 277 | 1432.00 280 | 730.00 280 | 610.00 266 | 760.00 289 | 4720.00 299 | 169.00 281 | 1920.00 291 | 723.00 288 | 2510.00 300 | 201.00 275 | 1050.00 297 | 1645.00 295 | 390.00 283 | 380.00 278 |
|
| CSCG | | | 826.03 257 | 963.29 262 | 414.24 249 | 421.52 255 | 426.11 258 | 2230.35 272 | 179.52 283 | 1827.44 288 | 733.43 289 | 933.12 256 | 281.25 285 | 545.23 261 | 1800.35 297 | 262.64 271 | 271.38 262 |
|
| FPMVS | | | 1407.00 280 | 1495.59 282 | 1141.23 293 | 648.01 282 | 893.85 296 | 4124.00 295 | 503.81 322 | 3219.04 303 | 742.72 290 | 2498.84 299 | 157.98 254 | 1727.83 306 | 832.93 264 | 732.98 304 | 802.00 298 |
|
| Patchmtry | | | 1090.75 272 | 1198.88 274 | 766.38 283 | 1290.90 304 | 485.90 261 | 2423.98 283 | 1267.30 355 | 1297.17 269 | 923.90 291 | 923.40 255 | 1215.54 348 | 990.23 288 | 667.90 255 | 779.80 305 | 823.02 303 |
|
| PatchT | | | 856.34 259 | 860.99 252 | 842.38 284 | 1290.90 304 | 880.90 295 | 790.30 228 | 1267.30 355 | 579.21 226 | 923.90 291 | 567.40 222 | 662.54 327 | 990.23 288 | 887.56 265 | 779.80 305 | 656.02 289 |
|
| COLMAP_ROB |  | 2144.59 11 | 1658.33 282 | 1869.33 284 | 1025.33 292 | 1030.00 301 | 1023.00 306 | 5311.00 301 | 359.00 298 | 3044.00 302 | 937.00 293 | 2892.00 301 | 332.00 292 | 1440.00 303 | 2312.00 303 | 607.00 287 | 613.00 288 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| ambc | | | | | 999.00 285 | 999.00 294 | 999.00 299 | 999.00 241 | 999.00 348 | | 999.00 294 | 999.00 257 | 999.00 340 | 999.00 290 | 999.00 270 | 999.00 324 | 999.00 321 |
|
| OurMVSNet-221017-0 | | | 999.00 265 | 999.00 264 | 999.00 285 | 999.00 294 | 999.00 299 | 999.00 241 | 999.00 348 | 999.00 258 | 999.00 294 | 999.00 257 | 999.00 340 | 999.00 290 | 999.00 270 | 999.00 324 | 999.00 321 |
|
| EPMVS | | | 999.00 265 | 999.00 264 | 999.00 285 | 999.00 294 | 999.00 299 | 999.00 241 | 999.00 348 | 999.00 258 | 999.00 294 | 999.00 257 | 999.00 340 | 999.00 290 | 999.00 270 | 999.00 324 | 999.00 321 |
|
| uanet_test | | | 1000.00 267 | 1000.00 266 | 1000.00 288 | 1000.00 297 | 1000.00 302 | 1000.00 244 | 1000.00 351 | 1000.00 260 | 1000.00 297 | 1000.00 260 | 1000.00 343 | 1000.00 293 | 1000.00 273 | 1000.00 327 | 1000.00 324 |
|
| sosnet | | | 1000.00 267 | 1000.00 266 | 1000.00 288 | 1000.00 297 | 1000.00 302 | 1000.00 244 | 1000.00 351 | 1000.00 260 | 1000.00 297 | 1000.00 260 | 1000.00 343 | 1000.00 293 | 1000.00 273 | 1000.00 327 | 1000.00 324 |
|
| USDC | | | 1000.00 267 | 1000.00 266 | 1000.00 288 | 1000.00 297 | 1000.00 302 | 1000.00 244 | 1000.00 351 | 1000.00 260 | 1000.00 297 | 1000.00 260 | 1000.00 343 | 1000.00 293 | 1000.00 273 | 1000.00 327 | 1000.00 324 |
|
| TinyColmap | | | 1000.00 267 | 1000.00 266 | 1000.00 288 | 1000.00 297 | 1000.00 302 | 1000.00 244 | 1000.00 351 | 1000.00 260 | 1000.00 297 | 1000.00 260 | 1000.00 343 | 1000.00 293 | 1000.00 273 | 1000.00 327 | 1000.00 324 |
|
| JIA-IIPM | | | 804.30 256 | 835.64 249 | 710.26 279 | 885.90 289 | 895.90 297 | 455.98 219 | 668.73 337 | 1297.17 269 | 1002.26 301 | 1001.67 264 | 655.98 325 | 756.98 280 | 667.90 255 | 885.21 317 | 477.90 283 |
|
| RPMNet | | | 787.26 255 | 829.13 248 | 661.63 274 | 885.90 289 | 895.90 297 | 455.98 219 | 610.10 332 | 1297.17 269 | 1002.26 301 | 1001.67 264 | 655.98 325 | 611.10 274 | 667.90 255 | 885.21 317 | 477.90 283 |
|
| F-COLMAP | | | 1878.17 283 | 2113.11 286 | 1173.33 296 | 1231.00 302 | 1174.00 307 | 6297.00 304 | 392.00 303 | 3356.00 305 | 1087.00 303 | 3082.00 302 | 361.00 296 | 1670.00 305 | 2523.00 305 | 689.00 294 | 676.00 293 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 289 | 2597.03 292 | 1297.84 297 | 1701.20 311 | 1332.37 308 | 8105.11 319 | 451.45 311 | 4031.84 310 | 1099.10 304 | 3966.50 309 | 467.45 304 | 1734.05 307 | 2701.68 308 | 848.94 314 | 827.11 304 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CMPMVS |  | 2623.62 15 | 1983.08 285 | 2156.14 287 | 1463.89 306 | 1414.80 308 | 1517.00 312 | 5239.20 300 | 867.40 342 | 3310.30 304 | 1128.70 305 | 3489.90 304 | 366.75 297 | 2030.20 317 | 2427.60 304 | 1160.60 336 | 844.46 306 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| OpenMVS |  | 2352.88 13 | 2263.08 288 | 2530.89 291 | 1459.67 305 | 1767.00 319 | 1591.00 315 | 7932.00 317 | 399.00 304 | 3643.00 306 | 1176.00 306 | 3569.00 306 | 297.00 287 | 1927.00 313 | 3302.00 311 | 693.00 299 | 861.00 307 |
|
| MVS-HIRNet | | | 2125.39 286 | 2452.68 289 | 1143.53 294 | 2938.33 349 | 1446.92 311 | 6083.19 303 | 391.74 302 | 3801.71 308 | 1202.10 307 | 3439.72 303 | 492.73 306 | 1304.35 302 | 3048.25 310 | 676.32 293 | 679.32 294 |
|
| ZD-MVS | | | | | | 1584.00 309 | 1821.00 332 | | 378.00 301 | 3721.00 307 | 1231.00 308 | 1833.00 289 | 321.00 291 | 1224.00 301 | 2103.00 302 | 692.00 298 | |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 297 | 3021.57 299 | 1618.12 308 | 2377.67 335 | 1751.39 328 | 8915.70 324 | 567.44 330 | 4569.74 317 | 1236.84 309 | 4615.63 315 | 513.23 307 | 2291.32 319 | 3515.48 315 | 882.39 316 | 811.66 300 |
|
| PLC |  | 2858.82 16 | 2192.92 287 | 2474.00 290 | 1349.67 298 | 1407.00 307 | 1356.00 309 | 7164.00 309 | 475.00 315 | 3970.00 309 | 1237.00 310 | 3765.00 308 | 451.00 303 | 1891.00 311 | 3006.00 309 | 791.00 310 | 802.00 298 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| Vis-MVSNet |  | | 2877.42 300 | 3170.00 303 | 1999.67 321 | 1673.00 310 | 2042.00 338 | 8593.00 322 | 474.00 314 | 6452.00 334 | 1268.00 311 | 5125.00 322 | 339.00 293 | 3004.00 335 | 4222.00 325 | 384.00 282 | 953.00 317 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| DeepC-MVS | | 3917.13 19 | 3155.06 303 | 3601.83 306 | 1814.72 316 | 2515.52 338 | 1941.53 333 | 10432.50 339 | 589.42 331 | 4789.45 318 | 1298.65 312 | 7677.31 340 | 578.35 314 | 2589.53 325 | 3611.78 317 | 923.52 319 | 913.10 312 |
| 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 | | | | | | | | | | 5016.02 321 | 1363.85 313 | 4894.28 319 | 387.23 298 | 2023.43 314 | 3973.88 319 | 620.04 290 | 732.56 295 |
|
| test0726 | | | | | | 1725.60 312 | 1598.35 316 | 9203.30 325 | 315.86 292 | 5016.02 321 | 1363.85 313 | 4894.28 319 | 387.23 298 | | | | |
|
| SD-MVS | | | 2654.53 296 | 3055.56 301 | 1451.45 303 | 1725.60 312 | 1598.35 316 | 9203.30 325 | 315.86 292 | 5016.02 321 | 1363.85 313 | 4894.28 319 | 387.23 298 | 2023.43 314 | 3973.88 319 | 620.04 290 | 732.56 295 |
| 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 | 2531.17 293 | 2839.56 296 | 1606.00 307 | 1732.00 315 | 1557.00 314 | 8375.00 321 | 483.00 316 | 4370.00 315 | 1371.00 316 | 4200.00 310 | 350.00 294 | 2207.00 318 | 3877.00 318 | 798.00 311 | 1054.00 328 |
|
| SteuartSystems-ACMMP | | | 2891.50 301 | 3284.78 304 | 1711.67 311 | 1954.00 322 | 1655.00 322 | 10117.00 338 | 445.00 310 | 5102.00 324 | 1375.00 317 | 5126.00 323 | 351.00 295 | 2638.00 331 | 4402.00 326 | 691.00 297 | 842.00 305 |
| Skip Steuart: Steuart Systems R&D Blog. |
| AdaColmap |  | | 2570.77 295 | 2948.61 298 | 1437.24 302 | 1873.64 321 | 1526.60 313 | 7819.77 316 | 373.97 299 | 4970.45 319 | 1479.29 318 | 4648.46 316 | 525.80 309 | 1904.97 312 | 4150.42 323 | 695.69 300 | 880.14 311 |
|
| LF4IMVS | | | 2699.50 298 | 3049.67 300 | 1649.00 309 | 1755.00 316 | 1689.00 323 | 8330.00 320 | 464.00 313 | 4997.00 320 | 1528.00 319 | 4763.00 318 | 568.00 313 | 2296.00 320 | 4215.00 324 | 827.00 313 | 962.00 318 |
|
| tpmrst | | | 2557.50 294 | 2847.12 297 | 1688.66 310 | 1784.08 320 | 1778.25 329 | 7445.50 315 | 342.14 295 | 4471.54 316 | 1534.55 320 | 4382.10 314 | 530.10 310 | 2361.21 321 | 4142.81 322 | 991.22 322 | 926.51 313 |
|
| CHOSEN 280x420 | | | 2340.81 290 | 2643.03 293 | 1434.14 299 | 2025.55 328 | 1629.36 319 | 6542.40 305 | 412.49 305 | 4219.70 312 | 1547.02 321 | 4328.52 311 | 650.74 322 | 1798.26 308 | 3333.17 312 | 727.72 301 | 874.79 308 |
|
| CHOSEN 1792x2688 | | | 2340.81 290 | 2643.03 293 | 1434.14 299 | 2025.55 328 | 1629.36 319 | 6542.40 305 | 412.49 305 | 4219.70 312 | 1547.02 321 | 4328.52 311 | 650.74 322 | 1798.26 308 | 3333.17 312 | 727.72 301 | 874.79 308 |
|
| HyFIR lowres test | | | 2340.81 290 | 2643.03 293 | 1434.14 299 | 2025.55 328 | 1629.36 319 | 6542.40 305 | 412.49 305 | 4219.70 312 | 1547.02 321 | 4328.52 311 | 650.74 322 | 1798.26 308 | 3333.17 312 | 727.72 301 | 874.79 308 |
|
| DPM-MVS | | | 3268.00 304 | 3762.89 307 | 1783.33 314 | 1756.00 317 | 1806.00 330 | 12319.00 341 | 307.00 290 | 6319.00 332 | 1557.00 324 | 5763.00 325 | 302.00 289 | 2609.00 327 | 5061.00 330 | 482.00 285 | 935.00 315 |
|
| OPM-MVS | | | 3268.00 304 | 3762.89 307 | 1783.33 314 | 1756.00 317 | 1806.00 330 | 12319.00 341 | 307.00 290 | 6319.00 332 | 1557.00 324 | 5763.00 325 | 302.00 289 | 2609.00 327 | 5061.00 330 | 482.00 285 | 935.00 315 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| EGC-MVSNET | | | 2819.75 299 | 3096.89 302 | 1988.33 320 | 3105.00 350 | 2241.00 340 | 9480.00 329 | 640.00 336 | 4209.00 311 | 1583.00 326 | 4740.00 317 | 547.00 312 | 2797.00 333 | 2644.00 307 | 924.00 320 | 927.00 314 |
|
| tpm2 | | | 3617.85 308 | 4007.23 310 | 2449.73 328 | 2012.71 324 | 1698.05 324 | 7351.19 311 | 869.29 343 | 6132.06 327 | 1588.28 327 | 8007.42 343 | 1281.09 349 | 3888.11 347 | 7472.04 348 | 1351.00 338 | 1763.02 344 |
|
| tpm cat1 | | | 3617.85 308 | 4007.23 310 | 2449.73 328 | 2012.71 324 | 1698.05 324 | 7351.19 311 | 869.29 343 | 6132.06 327 | 1588.28 327 | 8007.42 343 | 1281.09 349 | 3888.11 347 | 7472.04 348 | 1351.00 338 | 1763.02 344 |
|
| CostFormer | | | 3617.85 308 | 4007.23 310 | 2449.73 328 | 2012.71 324 | 1698.05 324 | 7351.19 311 | 869.29 343 | 6132.06 327 | 1588.28 327 | 8007.42 343 | 1281.09 349 | 3888.11 347 | 7472.04 348 | 1351.00 338 | 1763.02 344 |
|
| tpm | | | 3617.85 308 | 4007.23 310 | 2449.73 328 | 2012.71 324 | 1698.05 324 | 7351.19 311 | 869.29 343 | 6132.06 327 | 1588.28 327 | 8007.42 343 | 1281.09 349 | 3888.11 347 | 7472.04 348 | 1351.00 338 | 1763.02 344 |
|
| DVP-MVS++ | | | 3981.10 314 | 4731.32 319 | 1730.42 312 | 2191.51 331 | 1949.98 334 | 16473.90 350 | 355.33 296 | 7172.90 343 | 1622.98 331 | 7879.79 341 | 434.33 301 | 2428.11 323 | 5762.12 333 | 689.04 295 | 813.18 301 |
|
| DVP-MVS |  | | 3981.10 314 | 4731.32 319 | 1730.42 312 | 2191.51 331 | 1949.98 334 | 16473.90 350 | 355.33 296 | 7172.90 343 | 1622.98 331 | 7879.79 341 | 434.33 301 | 2428.11 323 | 5762.12 333 | 689.04 295 | 813.18 301 |
| 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 | 1959.51 284 | 2224.88 288 | 1163.39 295 | 1253.91 303 | 1434.22 310 | 7065.71 308 | 272.76 288 | 2472.29 299 | 1647.54 333 | 3538.72 305 | 200.37 274 | 1496.48 304 | 2575.17 306 | 997.45 323 | 559.48 285 |
|
| TAPA-MVS | | 6309.84 21 | 3374.90 306 | 3806.99 309 | 2078.63 323 | 2535.47 339 | 2499.25 348 | 8816.16 323 | 456.05 312 | 6255.60 331 | 1664.52 334 | 6704.88 330 | 629.95 320 | 2768.38 332 | 6343.93 344 | 856.35 315 | 968.25 319 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 307 | 4065.89 314 | 1914.35 317 | 2349.10 334 | 2141.30 339 | 12362.70 343 | 417.60 309 | 6717.80 338 | 1759.40 335 | 6497.50 328 | 518.18 308 | 2629.38 330 | 5164.32 332 | 806.40 312 | 972.38 320 |
| 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 | 3146.67 302 | 3537.00 305 | 1975.67 318 | 2310.00 333 | 2005.00 337 | 10100.00 337 | 626.00 335 | 5753.00 325 | 1803.00 336 | 5179.00 324 | 487.00 305 | 2622.00 329 | 4550.00 327 | 1025.00 331 | 1300.00 335 |
|
| ITE_SJBPF | | | | | 2014.00 322 | 1998.00 323 | 1992.00 336 | | 701.00 338 | 5989.00 326 | 1812.00 337 | 3612.00 307 | 650.00 321 | 2852.00 334 | 4601.00 328 | 1195.00 337 | 1198.00 334 |
|
| MVS_111021_HR | | | 3742.80 312 | 4330.34 315 | 1980.20 319 | 2484.31 337 | 2259.52 341 | 14973.80 348 | 515.90 329 | 6500.13 335 | 1949.21 338 | 6146.89 327 | 535.66 311 | 2593.66 326 | 4880.76 329 | 986.37 321 | 1087.43 329 |
|
| FOURS1 | | | | | | 2643.17 340 | 2465.14 343 | 13996.40 345 | 493.26 317 | 7619.38 346 | 2107.24 339 | | | | | | |
|
| PC_three_1452 | | | | | | | | | | 7619.38 346 | 2107.24 339 | 7416.93 337 | 610.24 317 | 3088.29 340 | 6075.14 340 | 1078.39 332 | 1159.26 330 |
|
| test_one_0601 | | | | | | 2643.17 340 | 2465.14 343 | | 493.26 317 | 7619.38 346 | 2107.24 339 | 7416.93 337 | 610.24 317 | | | | |
|
| SED-MVS | | | 4062.74 317 | 4671.13 318 | 2237.56 324 | 2643.17 340 | 2465.14 343 | 13996.40 345 | 493.26 317 | 7619.38 346 | 2107.24 339 | 7416.93 337 | 610.24 317 | 3088.29 340 | 6075.14 340 | 1078.39 332 | 1159.26 330 |
|
| IU-MVS | | | | | | 2725.60 345 | 2598.35 349 | | 515.86 325 | 7016.02 339 | 2363.85 343 | | | | 5973.88 336 | 1620.04 344 | 1732.56 340 |
|
| test_241102_TWO | | | | | | | | | 515.86 325 | 7016.02 339 | 2363.85 343 | 6894.28 331 | 887.23 335 | 3023.43 336 | 5973.88 336 | 1620.04 344 | 1732.56 340 |
|
| test_241102_ONE | | | | | | 2725.60 345 | 2598.35 349 | | 515.86 325 | 7016.02 339 | 2363.85 343 | 6894.28 331 | 887.23 335 | 3023.43 336 | | | |
|
| MSP-MVS | | | 4296.20 318 | 4911.12 322 | 2451.45 332 | 2725.60 345 | 2598.35 349 | 16203.30 349 | 515.86 325 | 7016.02 339 | 2363.85 343 | 6894.28 331 | 887.23 335 | 3023.43 336 | 5973.88 336 | 1620.04 344 | 1732.56 340 |
| 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 | | | 4000.00 316 | 4533.33 317 | 2400.00 327 | 2400.00 336 | 2400.00 342 | 7200.00 310 | 2400.00 359 | 7200.00 345 | 2400.00 347 | 7200.00 335 | 2400.00 353 | 2400.00 322 | 7200.00 346 | 2400.00 350 | 2400.00 349 |
|
| MAR-MVS | | | 3973.16 313 | 4387.92 316 | 2728.86 334 | 3345.27 351 | 3341.39 355 | 11403.90 340 | 798.76 340 | 6555.62 337 | 2569.29 348 | 6514.86 329 | 834.97 334 | 3237.43 344 | 5891.08 335 | 1577.54 343 | 1607.76 336 |
| 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 | | | 4380.83 319 | 4906.56 321 | 2803.67 335 | 3844.00 352 | 3116.00 354 | 13454.00 344 | 901.00 347 | 6511.00 336 | 2794.00 349 | 7365.00 336 | 754.00 331 | 3634.00 345 | 6622.00 345 | 1914.00 349 | 1661.00 339 |
|
| OMC-MVS | | | 5022.26 320 | 5748.82 323 | 2842.58 336 | 4905.27 354 | 3101.27 353 | 14933.60 347 | 812.24 341 | 9278.40 350 | 2959.29 350 | 8800.17 347 | 1092.24 347 | 3806.30 346 | 7568.54 352 | 1389.60 342 | 1620.18 338 |
|
| LS3D | | | 7684.71 322 | 8776.23 325 | 4410.16 338 | 5298.55 355 | 5631.53 357 | 34329.90 359 | 1504.57 357 | 11554.00 359 | 3896.41 351 | 15111.00 356 | 812.19 332 | 5985.63 352 | 3516.20 316 | 2963.23 351 | 1613.31 337 |
|
| CLD-MVS | | | 7338.25 321 | 8341.00 324 | 4330.00 337 | 4902.00 353 | 4991.00 356 | 23318.00 357 | 728.00 339 | 14437.00 360 | 4378.00 352 | 13379.00 355 | 824.00 333 | 5708.00 351 | 11429.00 361 | 1674.00 348 | 2291.00 348 |
| 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 | 10550.67 330 | 10002.44 333 | 12195.33 347 | 6242.00 356 | 8768.00 359 | 30896.00 358 | 4451.00 360 | 10331.00 358 | 6247.00 353 | 18296.00 357 | 283.00 286 | 21484.00 361 | 7364.00 347 | 5912.00 353 | 6334.00 351 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 331 | 11772.44 334 | 7637.33 339 | 9120.00 357 | 8206.00 358 | 22252.00 356 | 2010.00 358 | 24984.00 361 | 7458.00 354 | 22596.00 358 | 2940.00 354 | 10260.00 360 | 11100.00 360 | 3492.00 352 | 4446.00 350 |
|
| ZNCC-MVS | | | 9999.00 323 | 9999.00 326 | 9999.00 340 | 9999.00 358 | 9999.00 360 | 9999.00 330 | 9999.00 363 | 9999.00 351 | 9999.00 355 | 9999.00 348 | 9999.00 356 | 9999.00 353 | 9999.00 353 | 9999.00 354 | 9999.00 352 |
|
| patch_mono-2 | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| dcpmvs_2 | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| DCPMVS | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| UA-Net | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| uncertanet | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| uanet | | | 10000.00 324 | 10000.00 327 | 10000.00 341 | 10000.00 359 | 10000.00 361 | 10000.00 331 | 10000.00 364 | 10000.00 352 | 10000.00 356 | 10000.00 349 | 10000.00 357 | 10000.00 354 | 10000.00 354 | 10000.00 355 | 10000.00 353 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 332 | 22805.00 335 | 25097.33 348 | 15500.00 365 | 19201.00 367 | 42712.00 360 | 6055.00 361 | 38388.00 362 | 16926.00 362 | 38534.00 359 | 7071.00 355 | 35653.00 362 | 29475.00 362 | 10584.00 361 | 20438.00 360 |
| 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 | | | 32606.17 333 | 34443.44 336 | 27094.33 349 | 29249.00 366 | 25246.00 368 | 51144.00 361 | 6705.00 362 | 42886.00 363 | 22888.00 363 | 48534.00 360 | 13263.00 363 | 37507.00 363 | 79298.00 363 | 16024.00 362 | 18530.00 359 |
|
| 114514_t | | | 99999.00 334 | 99999.00 337 | 99999.00 350 | 99999.00 367 | 99999.00 369 | 99999.00 362 | 99999.00 370 | 99999.00 364 | 99999.00 364 | 99999.00 361 | 99999.00 364 | 99999.00 364 | 99999.00 364 | 99999.00 363 | 99999.00 361 |
|
| PHI-MVS | | | 99999.00 334 | 99999.00 337 | 99999.00 350 | 99999.00 367 | 99999.00 369 | 99999.00 362 | 99999.00 370 | 99999.00 364 | 99999.00 364 | 99999.00 361 | 99999.00 364 | 99999.00 364 | 99999.00 364 | 99999.00 363 | 99999.00 361 |
|
| XVG-OURS-SEG-HR | | | 999999.00 338 | 999999.00 339 | 999999.00 352 | 999999.00 369 | 999999.00 371 | 999999.00 364 | 999999.00 372 | 999999.00 366 | 999999.00 366 | 999999.00 363 | 999999.00 366 | 999999.00 366 | 999999.00 366 | 999999.00 365 | 999999.00 363 |
|
| XVG-OURS | | | 999999.00 338 | 999999.00 339 | 999999.00 352 | 999999.00 369 | 999999.00 371 | 999999.00 364 | 999999.00 372 | 999999.00 366 | 999999.00 366 | 999999.00 363 | 999999.00 366 | 999999.00 366 | 999999.00 366 | 999999.00 365 | 999999.00 363 |
|
| XVG-ACMP-BASELINE | | | 999999.00 338 | 999999.00 339 | 999999.00 352 | 999999.00 369 | 999999.00 371 | 999999.00 364 | 999999.00 372 | 999999.00 366 | 999999.00 366 | 999999.00 363 | 999999.00 366 | 999999.00 366 | 999999.00 366 | 999999.00 365 | 999999.00 363 |
|
| MED-MVS test | | | | | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 21344.80 352 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MED-MVS | | | 9168445.40 341 | 8891260.53 344 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 21344.80 352 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| TestfortrainingZip a | | | 9168445.40 341 | 8891260.53 344 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 21344.80 352 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| mamba_0408 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| icg_test_0407_2 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SSM_04072 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SSM_0407 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| IMVS_0407 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| IMVS_0404 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SSM_0404 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| IMVS_0403 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SD_0403 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| ME-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| NormalMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| lecture | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SymmetryMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Elysia | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| StellarMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| KinetiMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| LuminaMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| VortexMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| AstraMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| guyue | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| sc_t1 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tt0320-xc | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tt0320 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MVSMamba_PlusPlus | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MGCFI-Net | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| sasdasda | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| dmvs_re | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SDMVSNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| dmvs_testset | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| sd_testset | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| balanced_conf03 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MonoMVSNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test2506 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test1111 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| ECVR-MVS |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test_blank | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tt0805 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Anonymous20240521 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| cl22 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| miper_ehance_all_eth | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| miper_enhance_ethall | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| cl____ | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| DIV-MVS_self_test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| eth_miper_zixun_eth | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| UniMVSNet_ETH3D | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| miper_lstm_enhance | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| D2MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test_yl | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| thisisatest0530 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Anonymous20240529 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Anonymous202405211 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| DCV-MVSNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tttt0517 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| our_test_3 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| thisisatest0515 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| ppachtmachnet_test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SMA-MVS |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| 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 |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 10000000.00 372 | 10000000.00 374 | | | | 10000000.00 369 | | | | | | |
|
| thres100view900 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tfpnnormal | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| tfpn200view9 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| c3_l | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| IterMVS-SCA-FT | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pmmvs6 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pmmvs5 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Anonymous20231211 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pmmvs-eth3d | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Anonymous20231206 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| SCA | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Patchmatch-test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Patchmatch-RL test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| canonicalmvs | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| anonymousdsp | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| FIs | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| FC-MVSNet-test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| sosnet-low-res | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| AllTest | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| TestCases | | | | | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| RRT-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| mamv4 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| HPM-MVS++ |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| XVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pm-mvs1 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| X-MVStestdata | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| APDe-MVS |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pmmvs4 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test-LLR | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| TESTMET0.1,1 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test-mter | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| testgi | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test20.03 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| thres600view7 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MP-MVS |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| thres400 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test123 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| thres200 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| test0.0.03 1 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| pmmvs3 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| EMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| E-PMN | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PGM-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MCST-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| MVS_Test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PMMVS2 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PM-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| HQP_MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| plane_prior3 | | | | | | | 10000000.00 374 | | | 10000000.00 369 | 10000000.00 369 | | | | | | |
|
| mPP-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| mvsmamba | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| HPM-MVS_fast | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| HPM-MVS |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| LGP-MVS_train | | | | | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| EPNet_dtu | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP-NCC | | | | | | 10000000.00 372 | | 10000000.00 367 | | 10000000.00 369 | 10000000.00 369 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 372 | | 10000000.00 367 | | 10000000.00 369 | 10000000.00 369 | | | | | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 369 | | | 10000000.00 369 | | | 10000000.00 366 |
|
| CNVR-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| NCCC | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| CP-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| CPTT-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| HQP-MVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| IS-MVSNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PAPM_NR | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PAPR | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PatchMatch-RL | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| TDRefinement | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| EPP-MVSNet | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PMMVS | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| PAPM | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| ACMMP |  | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
| 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 | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| wuyk23d | | | 10000000.00 343 | 10000000.00 346 | 10000000.00 355 | 10000000.00 372 | 10000000.00 374 | 10000000.00 367 | 10000000.00 375 | 10000000.00 369 | 10000000.00 369 | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| APD-MVS |  | | 1000000000.00 475 | 1000000000.00 478 | 1000000000.00 492 | 1000000000.00 517 | 1000000000.00 517 | 1000000000.00 504 | 1000000000.00 517 | 1000000000.00 510 | 1000000000.00 511 | 1000000000.00 508 | 1000000000.00 512 | 1000000000.00 511 | 1000000000.00 510 | 1000000000.00 509 | 1000000000.00 507 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| TestfortrainingZip | | | | | | | | 21344.80 352 | | | | | | | | | |
|
| WAC-MVS | | | | | | | 248.46 233 | | | | | | | | 422.23 226 | | |
|
| MSC_two_6792asdad | | | | | 2237.56 324 | 2643.17 340 | 2465.14 343 | | 493.26 317 | | | | | 3088.29 340 | 6075.14 340 | 1078.39 332 | 1159.26 330 |
|
| No_MVS | | | | | 2237.56 324 | 2643.17 340 | 2465.14 343 | | 493.26 317 | | | | | 3088.29 340 | 6075.14 340 | 1078.39 332 | 1159.26 330 |
|
| eth-test2 | | | | | | 1.42 126 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 372 | | | | | | | | | | | |
|
| OPU-MVS | | | | | 2451.45 332 | 2725.60 345 | 2598.35 349 | 9203.30 325 | | | | 6894.28 331 | 887.23 335 | 3023.43 336 | 5973.88 336 | 1620.04 344 | 1732.56 340 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test_0728_SECOND | | | | | 1451.45 303 | 1725.60 312 | 1598.35 316 | 9203.30 325 | 315.86 292 | | | | | 2023.43 314 | 3973.88 319 | 620.04 290 | 732.56 295 |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 366 |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 369 | | | | 10000000.00 366 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 369 | | | | |
|
| MTGPA |  | | | | | | | | 10000000.00 375 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 367 | | | | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | 10000000.00 369 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 366 | 10000000.00 369 | 10000000.00 369 | | | |
|
| MTMP | | | | | | | | 10000000.00 367 | 10000000.00 375 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 269 | 600.33 277 | | | 579.21 226 | | 567.40 222 | | 531.67 257 | 503.93 233 | | |
|
| 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 | | | | | | 10000000.00 372 | 10000000.00 374 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 372 | 10000000.00 374 | | | | | | 10000000.00 369 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 375 | | | | | 10000000.00 369 | 10000000.00 369 | 10000000.00 368 | 10000000.00 366 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 366 | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 367 | | 10000000.00 369 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 372 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 120 | 2.00 158 | | 2.00 159 | | | | | | 2.00 157 | |
|
| n2 | | | | | | | | | 14.20 200 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 128 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 128 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 121 | | | | | | | | |
|
| door | | | | | | | | | 99.00 253 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 374 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 369 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 375 | | | | | | | 10000000.00 368 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 369 | | | | |
|
| NP-MVS | | | | | | 10000000.00 372 | 10000000.00 374 | | | | | 10000000.00 366 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 368 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 368 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 339 | | | | |
|