| 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 |
|
| 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 | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test9_res | | | | | | | | | | | | | | | 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 |
|
| agg_prior2 | | | | | | | | | | | | | | | 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 | | |
|
| æ–°å‡ ä½•1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 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 50 | 0.30 51 | 0.30 55 | 0.30 62 | 0.30 62 | 0.30 62 | 0.30 63 | 0.30 62 | 0.30 61 | 0.30 59 | 0.30 61 | 0.30 62 | 0.30 60 | 0.30 60 | 0.30 60 |
|
| hse-mvs2 | | | 0.30 50 | 0.30 51 | 0.30 55 | 0.30 62 | 0.30 62 | 0.30 62 | 0.30 63 | 0.30 62 | 0.30 61 | 0.30 59 | 0.30 61 | 0.30 62 | 0.30 60 | 0.30 60 | 0.30 60 |
|
| CL-MVSNet_self_test | | | 0.30 50 | 0.30 51 | 0.30 55 | 0.30 62 | 0.30 62 | 0.30 62 | 0.30 63 | 0.30 62 | 0.30 61 | 0.30 59 | 0.30 61 | 0.30 62 | 0.30 60 | 0.30 60 | 0.30 60 |
|
| AUN-MVS | | | 0.30 50 | 0.30 51 | 0.30 55 | 0.30 62 | 0.30 62 | 0.30 62 | 0.30 63 | 0.30 62 | 0.30 61 | 0.30 59 | 0.30 61 | 0.30 62 | 0.30 60 | 0.30 60 | 0.30 60 |
|
| LCM-MVSNet | | | 0.37 54 | 0.36 55 | 0.37 59 | 0.37 66 | 0.37 66 | 0.37 66 | 0.32 67 | 0.37 66 | 0.37 65 | 0.37 63 | 0.37 65 | 0.37 66 | 0.37 64 | 0.37 64 | 0.37 64 |
|
| v144192 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v1921920 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v1192 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v1144 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v148 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v7n | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v1240 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v8 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v10 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| v2v482 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| V42 | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| GA-MVS | | | 0.40 55 | 0.40 56 | 0.40 60 | 0.40 67 | 0.40 67 | 0.40 67 | 0.40 69 | 0.40 67 | 0.40 66 | 0.40 64 | 0.40 66 | 0.40 67 | 0.40 65 | 0.40 65 | 0.40 65 |
|
| Fast-Effi-MVS+ | | | 0.41 67 | 0.40 56 | 0.41 72 | 0.41 79 | 0.41 79 | 0.41 79 | 0.35 68 | 0.41 79 | 0.41 78 | 0.41 76 | 0.41 78 | 0.41 79 | 0.41 77 | 0.41 77 | 0.41 77 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 68 | 0.44 69 | 0.44 73 | 0.44 80 | 0.44 80 | 0.44 80 | 0.44 81 | 0.44 80 | 0.44 79 | 0.44 77 | 0.44 79 | 0.44 80 | 0.44 78 | 0.44 78 | 0.44 78 |
|
| KD-MVS_self_test | | | 0.60 71 | 0.60 71 | 0.60 75 | 0.60 82 | 0.60 82 | 0.60 83 | 0.60 83 | 0.60 82 | 0.60 81 | 0.60 79 | 0.60 81 | 0.60 82 | 0.60 79 | 0.60 81 | 0.60 80 |
|
| EIA-MVS | | | 0.62 72 | 0.62 73 | 0.62 76 | 0.62 83 | 0.62 83 | 0.62 84 | 0.62 84 | 0.62 83 | 0.62 82 | 0.62 80 | 0.62 82 | 0.62 83 | 0.62 80 | 0.62 82 | 0.62 81 |
|
| ETV-MVS | | | 0.62 72 | 0.62 73 | 0.62 76 | 0.62 83 | 0.62 83 | 0.62 84 | 0.62 84 | 0.62 83 | 0.62 82 | 0.62 80 | 0.62 82 | 0.62 83 | 0.62 80 | 0.62 82 | 0.62 81 |
|
| CS-MVS | | | 0.62 72 | 0.62 73 | 0.62 76 | 0.62 83 | 0.62 83 | 0.62 84 | 0.62 84 | 0.62 83 | 0.62 82 | 0.62 80 | 0.62 82 | 0.62 83 | 0.62 80 | 0.62 82 | 0.62 81 |
|
| SPE-MVS-test | | | 0.62 72 | 0.62 73 | 0.62 76 | 0.62 83 | 0.62 83 | 0.62 84 | 0.62 84 | 0.62 83 | 0.62 82 | 0.62 80 | 0.62 82 | 0.62 83 | 0.62 80 | 0.62 82 | 0.62 81 |
|
| Effi-MVS+ | | | 0.58 69 | 0.56 70 | 0.62 76 | 0.53 81 | 0.62 83 | 0.53 81 | 0.53 82 | 0.53 81 | 0.62 82 | 0.62 80 | 0.53 80 | 0.62 83 | 0.62 80 | 0.53 79 | 0.62 81 |
|
| EC-MVSNet | | | 0.62 72 | 0.62 73 | 0.62 76 | 0.62 83 | 0.62 83 | 0.62 84 | 0.62 84 | 0.62 83 | 0.62 82 | 0.62 80 | 0.62 82 | 0.62 83 | 0.62 80 | 0.62 82 | 0.62 81 |
|
| Effi-MVS+-dtu | | | 0.59 70 | 0.61 72 | 0.53 74 | 0.68 88 | 0.53 81 | 0.53 81 | 0.68 89 | 0.68 88 | 0.53 80 | 0.53 78 | 0.68 87 | 0.53 81 | 0.68 86 | 0.53 79 | 0.53 79 |
|
| CDS-MVSNet | | | 0.88 77 | 0.88 78 | 0.88 82 | 0.88 89 | 0.88 89 | 0.88 89 | 0.88 90 | 0.88 89 | 0.88 88 | 0.88 86 | 0.88 88 | 0.88 89 | 0.88 87 | 0.88 87 | 0.88 87 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 77 | 0.88 78 | 0.88 82 | 0.88 89 | 0.88 89 | 0.88 89 | 0.88 90 | 0.88 89 | 0.88 88 | 0.88 86 | 0.88 88 | 0.88 89 | 0.88 87 | 0.88 87 | 0.88 87 |
|
| LCM-MVSNet-Re | | | 0.89 79 | 0.89 80 | 0.89 84 | 0.89 91 | 0.89 91 | 0.89 91 | 0.89 92 | 0.89 91 | 0.89 90 | 0.89 88 | 0.89 90 | 0.89 91 | 0.89 89 | 0.89 89 | 0.89 89 |
|
| DeepMVS_CX |  | | | | 1.00 85 | 1.00 92 | 1.00 92 | | 1.00 93 | 1.00 92 | 1.00 91 | 1.00 89 | 1.00 91 | 1.00 92 | 1.00 90 | 1.00 90 | 1.00 90 |
|
| MDA-MVSNet-bldmvs | | | 1.20 80 | 1.20 81 | 1.20 86 | 1.20 93 | 1.20 94 | 1.20 92 | 1.20 95 | 1.20 93 | 1.20 92 | 1.20 90 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 91 | 1.20 91 |
|
| YYNet1 | | | 1.20 80 | 1.20 81 | 1.20 86 | 1.20 93 | 1.20 94 | 1.20 92 | 1.20 95 | 1.20 93 | 1.20 92 | 1.20 90 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 91 | 1.20 91 |
|
| MDA-MVSNet_test_wron | | | 1.20 80 | 1.20 81 | 1.20 86 | 1.20 93 | 1.20 94 | 1.20 92 | 1.20 95 | 1.20 93 | 1.20 92 | 1.20 90 | 1.20 92 | 1.20 93 | 1.20 91 | 1.20 91 | 1.20 91 |
|
| KD-MVS_2432*1600 | | | 1.30 83 | 1.30 84 | 1.30 89 | 1.30 96 | 1.30 97 | 1.30 95 | 1.30 98 | 1.30 96 | 1.30 95 | 1.30 93 | 1.30 95 | 1.30 96 | 1.30 94 | 1.30 94 | 1.30 94 |
|
| miper_refine_blended | | | 1.30 83 | 1.30 84 | 1.30 89 | 1.30 96 | 1.30 97 | 1.30 95 | 1.30 98 | 1.30 96 | 1.30 95 | 1.30 93 | 1.30 95 | 1.30 96 | 1.30 94 | 1.30 94 | 1.30 94 |
|
| EI-MVSNet-UG-set | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| EI-MVSNet-Vis-set | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| EI-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| Regformer | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| CVMVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| EU-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| PS-CasMVS | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| PEN-MVS | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| TransMVSNet (Re) | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| DTE-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| DU-MVS | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| UniMVSNet (Re) | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| CP-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| WR-MVS_H | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| WR-MVS | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| NR-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| Baseline_NR-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| MVSFormer | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| jason | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
| jason: jason. |
| lupinMVS | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| test_djsdf | | | 1.42 85 | 1.42 86 | 1.42 91 | 1.42 98 | 1.42 99 | 1.42 97 | 1.42 100 | 1.42 98 | 1.42 97 | 1.42 95 | 1.42 97 | 1.42 98 | 1.42 96 | 1.42 96 | 1.42 96 |
|
| reproduce_monomvs | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| mmtdpeth | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| reproduce_model | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| reproduce-ours | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| our_new_method | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| mmdepth | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| monomultidepth | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| mvs5depth | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| MVStest1 | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| ttmdpeth | | | 1.48 108 | 1.48 109 | 1.48 114 | 1.48 122 | 1.48 122 | 1.48 120 | 1.48 125 | 1.48 121 | 1.48 120 | 1.48 118 | 1.48 120 | 1.48 121 | 1.48 119 | 1.48 119 | 1.48 119 |
|
| alignmvs | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| nrg030 | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| LFMVS | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| VDD-MVS | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| VDDNet | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| VPNet | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| VNet | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| VPA-MVSNet | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| cascas | | | 2.00 118 | 2.00 119 | 2.00 124 | 2.00 132 | 2.00 132 | 2.00 130 | 2.00 135 | 2.00 131 | 2.00 130 | 2.00 128 | 2.00 130 | 2.00 131 | 2.00 129 | 2.00 129 | 2.00 129 |
|
| UnsupCasMVSNet_eth | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| UnsupCasMVSNet_bld | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| WTY-MVS | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| HY-MVS | | 5.90 1 | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| sss | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| Test_1112_low_res | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| 1112_ss | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| ab-mvs-re | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| ab-mvs | | | 5.90 127 | 5.90 128 | 5.90 133 | 5.90 141 | 5.90 141 | 5.90 140 | 5.90 147 | 5.90 141 | 5.90 139 | 5.90 137 | 5.90 141 | 5.90 140 | 5.90 138 | 5.90 141 | 5.90 141 |
|
| CDPH-MVS | | | 6.66 136 | 6.66 137 | 6.66 142 | 6.66 150 | 6.66 150 | 6.66 149 | 6.66 156 | 6.66 150 | 6.66 148 | 6.66 146 | 6.66 150 | 6.66 149 | 6.66 147 | 6.66 150 | 6.66 150 |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 152 | 9.99 150 | | 9.99 151 | 9.99 150 | | 9.99 152 | | 9.99 148 | | 9.99 151 |
|
| MDTV_nov1_ep13 | | | | 9.99 138 | | 9.99 151 | 9.99 152 | 9.99 150 | 9.99 158 | 9.99 151 | 9.99 150 | 9.99 147 | 9.99 152 | 9.99 151 | 9.99 148 | 9.99 152 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| xiu_mvs_v2_base | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| xiu_mvs_v1_base | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| xiu_mvs_v1_base_debi | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| cdsmvs_eth3d_5k | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| pcd_1.5k_mvsjas | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| PS-MVSNAJss | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| PS-MVSNAJ | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| jajsoiax | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| mvs_tets | | | 10.28 137 | 10.28 139 | 10.28 144 | 10.28 152 | 10.28 154 | 10.28 152 | 10.28 159 | 10.28 153 | 10.28 152 | 10.28 148 | 10.28 154 | 10.28 152 | 10.28 150 | 10.28 153 | 10.28 152 |
|
| SR-MVS-dyc-post | | | 11.55 147 | 11.55 149 | 11.55 156 | 11.55 163 | 11.55 165 | 11.55 162 | 11.55 171 | 11.55 163 | 11.55 163 | 11.55 158 | 11.55 165 | 11.55 162 | 11.55 160 | 11.55 163 | 11.55 162 |
|
| dp | | | 87.20 156 | 113.80 160 | 7.42 143 | 10.50 162 | 8.88 151 | 298.82 177 | 2.70 144 | 510.35 196 | 7.79 149 | 172.93 170 | 3.37 139 | 9.16 150 | 14.00 161 | 3.71 139 | 4.23 139 |
|
| XXY-MVS | | | 15.00 148 | 15.00 150 | 15.00 157 | 15.00 164 | 15.00 167 | 15.00 163 | 15.00 173 | 15.00 164 | 15.00 165 | 15.00 159 | 15.00 169 | 15.00 164 | 15.00 162 | 15.00 165 | 15.00 164 |
|
| GeoE | | | 19.41 150 | 22.09 152 | 11.37 155 | 17.21 166 | 11.30 164 | 50.50 168 | 4.30 146 | 33.60 165 | 11.70 164 | 44.50 165 | 7.30 151 | 18.90 165 | 22.60 163 | 7.10 151 | 3.90 138 |
|
| test_method | | | 18.29 149 | 20.89 151 | 10.50 154 | 15.00 164 | 13.00 166 | 55.00 169 | 3.00 145 | 34.00 166 | 11.50 162 | 32.50 160 | 5.00 140 | 13.50 163 | 27.00 164 | 5.00 140 | 5.00 140 |
|
| BH-w/o | | | 40.00 151 | 40.00 153 | 40.00 159 | 40.00 167 | 40.00 168 | 40.00 164 | 40.00 192 | 40.00 167 | 40.00 167 | 40.00 161 | 40.00 186 | 40.00 167 | 40.00 165 | 40.00 179 | 40.00 175 |
|
| BH-untuned | | | 40.00 151 | 40.00 153 | 40.00 159 | 40.00 167 | 40.00 168 | 40.00 164 | 40.00 192 | 40.00 167 | 40.00 167 | 40.00 161 | 40.00 186 | 40.00 167 | 40.00 165 | 40.00 179 | 40.00 175 |
|
| BH-RMVSNet | | | 40.00 151 | 40.00 153 | 40.00 159 | 40.00 167 | 40.00 168 | 40.00 164 | 40.00 192 | 40.00 167 | 40.00 167 | 40.00 161 | 40.00 186 | 40.00 167 | 40.00 165 | 40.00 179 | 40.00 175 |
|
| TR-MVS | | | 40.00 151 | 40.00 153 | 40.00 159 | 40.00 167 | 40.00 168 | 40.00 164 | 40.00 192 | 40.00 167 | 40.00 167 | 40.00 161 | 40.00 186 | 40.00 167 | 40.00 165 | 40.00 179 | 40.00 175 |
|
| GBi-Net | | | 44.67 155 | 49.24 157 | 30.96 158 | 47.53 171 | 47.57 172 | 126.09 170 | 8.00 157 | 76.99 171 | 26.09 166 | 73.50 167 | 11.27 164 | 30.55 166 | 61.12 169 | 12.58 164 | 14.75 163 |
|
| new_pmnet | | | 88.14 157 | 98.62 158 | 56.70 163 | 98.14 178 | 56.07 173 | 246.79 172 | 15.37 174 | 148.06 172 | 50.77 171 | 143.13 168 | 23.35 170 | 62.65 171 | 93.26 170 | 68.71 189 | 51.38 185 |
|
| N_pmnet | | | 88.14 157 | 98.62 158 | 56.70 163 | 98.14 178 | 56.07 173 | 246.79 172 | 15.37 174 | 148.06 172 | 50.77 171 | 143.13 168 | 23.35 170 | 62.65 171 | 93.26 170 | 68.71 189 | 51.38 185 |
|
| tmp_tt | | | 371.08 187 | 412.78 188 | 246.00 198 | 231.00 195 | 197.00 198 | 1293.00 231 | 376.00 272 | 756.00 217 | 609.00 250 | 71.00 166 | 106.00 209 | 195.00 193 | 102.00 172 | 171.00 220 | 346.00 246 |
|
| DSMNet-mixed | | | 131.33 170 | 143.00 172 | 96.33 181 | 99.00 180 | 81.00 181 | 201.00 171 | 45.00 197 | 335.00 190 | 99.00 189 | 251.00 185 | 38.00 185 | 110.00 187 | 120.00 173 | 99.00 195 | 98.00 191 |
|
| CANet | | | 110.62 159 | 124.04 161 | 70.34 166 | 82.03 175 | 74.27 178 | 325.54 178 | 25.25 177 | 207.16 174 | 69.28 176 | 194.38 171 | 27.53 172 | 95.79 180 | 147.76 174 | 37.43 169 | 40.97 179 |
|
| CANet_DTU | | | 110.62 159 | 124.04 161 | 70.34 166 | 82.03 175 | 74.27 178 | 325.54 178 | 25.25 177 | 207.16 174 | 69.28 176 | 194.38 171 | 27.53 172 | 95.79 180 | 147.76 174 | 37.43 169 | 40.97 179 |
|
| UGNet | | | 110.62 159 | 124.04 161 | 70.34 166 | 82.03 175 | 74.27 178 | 325.54 178 | 25.25 177 | 207.16 174 | 69.28 176 | 194.38 171 | 27.53 172 | 95.79 180 | 147.76 174 | 37.43 169 | 40.97 179 |
| 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 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| test1 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| FMVSNet3 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| FMVSNet2 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| FMVSNet1 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| MIMVSNet1 | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| MIMVSNet | | | 124.76 163 | 140.93 165 | 76.26 171 | 107.44 181 | 100.17 185 | 329.88 181 | 27.12 183 | 259.44 183 | 74.30 179 | 204.34 174 | 30.74 175 | 92.41 173 | 196.98 177 | 38.15 172 | 36.19 166 |
|
| PVSNet_Blended_VisFu | | | 136.90 171 | 155.40 173 | 81.40 178 | 111.00 188 | 96.20 182 | 407.00 188 | 25.90 180 | 251.60 180 | 85.10 186 | 240.50 182 | 37.00 182 | 99.90 183 | 199.80 184 | 40.70 183 | 48.10 182 |
|
| PVSNet_BlendedMVS | | | 136.90 171 | 155.40 173 | 81.40 178 | 111.00 188 | 96.20 182 | 407.00 188 | 25.90 180 | 251.60 180 | 85.10 186 | 240.50 182 | 37.00 182 | 99.90 183 | 199.80 184 | 40.70 183 | 48.10 182 |
|
| PVSNet_Blended | | | 136.90 171 | 155.40 173 | 81.40 178 | 111.00 188 | 96.20 182 | 407.00 188 | 25.90 180 | 251.60 180 | 85.10 186 | 240.50 182 | 37.00 182 | 99.90 183 | 199.80 184 | 40.70 183 | 48.10 182 |
|
| MTAPA | | | 833442.10 309 | 1111233.77 315 | 67.09 165 | 65.59 172 | 64.81 175 | 284.50 174 | 10000000.00 347 | 219.97 177 | 59.62 173 | 229.89 181 | 12.72 166 | 103.00 186 | 203.67 187 | 27.93 166 | 33.46 165 |
|
| ACMMP_NAP | | | 118.81 162 | 133.18 164 | 75.70 169 | 74.28 173 | 73.29 176 | 284.50 174 | 11.35 169 | 238.58 178 | 65.86 174 | 255.35 186 | 14.55 167 | 115.69 188 | 222.18 188 | 31.94 167 | 38.12 173 |
|
| FE-MVS | | | 207.10 175 | 234.26 177 | 125.61 183 | 180.34 191 | 153.23 193 | 635.64 195 | 30.05 190 | 378.38 192 | 127.68 191 | 377.08 189 | 48.95 191 | 154.43 191 | 266.67 189 | 63.56 187 | 69.18 188 |
|
| BP-MVS1 | | | 202.65 174 | 232.15 176 | 114.16 182 | 183.40 192 | 141.78 192 | 655.87 196 | 24.69 176 | 372.56 191 | 109.76 190 | 356.89 188 | 47.15 190 | 139.51 190 | 284.15 190 | 54.86 186 | 61.20 187 |
|
| GDP-MVS | | | 219.79 176 | 249.11 178 | 131.85 184 | 187.15 193 | 155.97 194 | 667.31 197 | 30.57 191 | 398.95 193 | 131.26 192 | 387.86 190 | 58.83 193 | 164.55 192 | 315.00 191 | 65.03 188 | 75.04 189 |
|
| FA-MVS(test-final) | | | 261.15 177 | 293.29 179 | 164.72 185 | 236.23 196 | 199.99 199 | 800.05 203 | 42.35 196 | 475.87 195 | 155.47 193 | 470.67 192 | 58.49 192 | 205.24 194 | 319.44 192 | 81.03 192 | 88.93 190 |
|
| DP-MVS | | | 264.78 178 | 296.02 180 | 171.04 187 | 191.70 194 | 183.96 196 | 827.10 204 | 78.36 208 | 438.24 194 | 176.64 195 | 435.12 191 | 65.04 195 | 230.52 197 | 334.02 193 | 117.96 203 | 98.64 192 |
|
| Syy-MVS | | | 370.76 186 | 415.60 189 | 236.25 194 | 310.54 207 | 210.76 201 | 965.13 210 | 98.58 223 | 746.06 215 | 266.26 209 | 788.85 215 | 91.37 202 | 364.76 213 | 357.17 194 | 116.42 200 | 133.22 200 |
|
| kuosan | | | 267.89 179 | 301.05 181 | 168.41 186 | 244.05 197 | 177.28 195 | 667.98 198 | 65.76 199 | 533.41 197 | 157.79 194 | 492.01 193 | 104.69 208 | 226.72 195 | 364.47 195 | 79.31 191 | 101.21 193 |
|
| WB-MVS | | | 316.44 180 | 357.41 182 | 193.51 189 | 257.06 198 | 213.32 202 | 914.45 206 | 49.03 198 | 600.77 203 | 186.42 197 | 634.00 205 | 75.03 198 | 251.35 199 | 411.39 196 | 88.55 193 | 115.87 195 |
|
| UWE-MVS-28 | | | 327.73 182 | 369.67 184 | 201.90 190 | 281.09 205 | 210.75 200 | 832.98 205 | 74.67 207 | 680.98 210 | 198.23 198 | 613.42 202 | 112.56 211 | 259.80 200 | 418.76 197 | 114.35 197 | 135.15 202 |
|
| WAC-MVS | | | | | | | 248.46 205 | | | | | | | | 422.23 198 | | |
|
| SSC-MVS | | | 320.23 181 | 364.09 183 | 188.66 188 | 260.78 199 | 193.84 197 | 975.93 212 | 73.11 204 | 596.72 202 | 185.29 196 | 589.02 199 | 74.47 197 | 246.01 198 | 427.42 199 | 94.06 194 | 126.12 196 |
|
| testing3 | | | 418.10 193 | 469.06 195 | 265.23 203 | 335.69 210 | 290.63 213 | 1240.88 229 | 93.72 218 | 717.99 212 | 215.31 200 | 811.97 221 | 232.41 255 | 358.74 211 | 458.67 200 | 114.88 198 | 146.32 205 |
|
| myMVS_eth3d | | | 390.90 189 | 437.44 190 | 251.28 200 | 310.54 207 | 255.86 207 | 965.13 210 | 98.58 223 | 746.06 215 | 266.26 209 | 788.85 215 | 154.95 224 | 364.76 213 | 490.19 201 | 116.42 200 | 133.22 200 |
|
| testing91 | | | 347.05 183 | 389.92 185 | 218.43 192 | 275.92 203 | 241.43 204 | 923.71 208 | 71.70 200 | 667.65 208 | 217.04 202 | 629.00 203 | 113.33 212 | 281.39 202 | 495.50 202 | 115.45 199 | 132.47 199 |
|
| ADS-MVSNet2 | | | 443.33 197 | 482.84 197 | 324.79 216 | 434.94 229 | 387.73 227 | 1110.57 221 | 87.69 214 | 887.02 223 | 282.92 213 | 779.29 213 | 98.57 206 | 422.76 225 | 502.40 203 | 162.19 218 | 163.87 210 |
|
| ADS-MVSNet | | | 443.33 197 | 482.84 197 | 324.79 216 | 434.94 229 | 387.73 227 | 1110.57 221 | 87.69 214 | 887.02 223 | 282.92 213 | 779.29 213 | 98.57 206 | 422.76 225 | 502.40 203 | 162.19 218 | 163.87 210 |
|
| GG-mvs-BLEND | | | | | 596.01 240 | 611.29 241 | 600.33 249 | 790.30 200 | 513.12 295 | | 552.71 244 | 567.40 194 | 662.54 299 | 531.67 229 | 503.93 205 | 779.80 277 | 656.02 261 |
|
| gm-plane-assit | | | | | | 611.29 241 | 600.33 249 | | | 579.21 198 | | 567.40 194 | | 531.67 229 | 503.93 205 | | |
|
| gg-mvs-nofinetune | | | 594.69 207 | 605.37 209 | 562.67 237 | 617.29 245 | 500.33 235 | 772.30 199 | 413.12 280 | 579.21 198 | 552.71 244 | 567.40 194 | 662.54 299 | 531.67 229 | 503.93 205 | 779.80 277 | 656.02 261 |
|
| CR-MVSNet | | | 612.36 209 | 617.81 212 | 596.01 240 | 611.29 241 | 600.33 249 | 790.30 200 | 513.12 295 | 579.21 198 | 552.71 244 | 567.40 194 | 662.54 299 | 531.67 229 | 503.93 205 | 779.80 277 | 656.02 261 |
|
| dongtai | | | 360.45 185 | 401.64 187 | 236.89 195 | 303.10 206 | 262.16 210 | 963.12 209 | 72.78 202 | 622.82 206 | 199.37 199 | 708.06 208 | 130.96 216 | 310.90 205 | 506.46 209 | 108.11 196 | 137.60 203 |
|
| testing11 | | | 348.86 184 | 393.09 186 | 216.15 191 | 275.24 202 | 239.53 203 | 915.55 207 | 72.35 201 | 679.89 209 | 215.75 201 | 633.79 204 | 118.08 213 | 276.62 201 | 509.56 210 | 117.61 202 | 132.30 198 |
|
| testing222 | | | 430.52 195 | 487.50 199 | 259.56 202 | 379.87 220 | 282.69 212 | 1138.34 224 | 81.30 210 | 880.86 222 | 281.58 212 | 834.27 223 | 135.83 219 | 333.22 209 | 514.90 211 | 140.56 208 | 162.76 209 |
|
| UWE-MVS | | | 387.98 188 | 438.66 191 | 235.93 193 | 349.32 212 | 257.61 208 | 1081.50 220 | 82.45 212 | 637.74 207 | 257.12 206 | 738.54 210 | 134.25 217 | 308.00 203 | 531.93 212 | 135.11 206 | 142.17 204 |
|
| WB-MVSnew | | | 404.84 191 | 458.00 193 | 245.36 197 | 374.70 216 | 320.27 218 | 1193.74 227 | 72.90 203 | 773.77 218 | 238.30 203 | 688.22 207 | 90.05 201 | 308.59 204 | 532.76 213 | 157.54 214 | 107.21 194 |
|
| RPSCF | | | 394.81 190 | 445.63 192 | 242.35 196 | 276.55 204 | 253.63 206 | 1207.27 228 | 90.69 217 | 715.56 211 | 241.57 205 | 684.87 206 | 111.96 210 | 320.02 207 | 548.38 214 | 133.81 205 | 153.39 208 |
|
| myMVS_eth3d28 | | | 418.40 194 | 473.07 196 | 254.39 201 | 261.18 200 | 313.04 214 | 1172.79 226 | 74.16 206 | 929.18 226 | 264.68 208 | 745.72 211 | 139.03 221 | 318.91 206 | 549.18 215 | 121.71 204 | 131.21 197 |
|
| tpmvs | | | 501.65 204 | 567.42 206 | 304.33 210 | 395.39 224 | 356.32 224 | 1512.04 236 | 216.53 259 | 994.15 229 | 350.16 225 | 804.16 220 | 119.38 214 | 380.98 216 | 555.14 216 | 159.87 216 | 175.69 213 |
|
| ETVMVS | | | 443.50 199 | 498.07 201 | 279.78 205 | 378.05 219 | 321.57 219 | 1163.68 225 | 87.12 213 | 897.50 225 | 269.81 211 | 822.83 222 | 141.20 222 | 334.53 210 | 568.21 217 | 154.21 209 | 183.26 216 |
|
| testing99 | | | 408.82 192 | 462.15 194 | 248.86 199 | 322.45 209 | 269.42 211 | 1118.93 223 | 73.26 205 | 719.36 213 | 262.28 207 | 772.10 212 | 150.98 223 | 327.08 208 | 601.98 218 | 137.99 207 | 150.07 206 |
|
| RE-MVS-def | | | | 610.10 210 | | 610.10 239 | 610.10 252 | 610.10 193 | 610.10 304 | 610.10 204 | 610.10 251 | 610.10 200 | 610.10 287 | | 610.10 219 | 610.10 260 | 610.10 258 |
|
| SR-MVS | | | 610.10 208 | 610.10 210 | 610.10 242 | 610.10 239 | 610.10 252 | 610.10 193 | 610.10 304 | 610.10 204 | 610.10 251 | 610.10 200 | 610.10 287 | 610.10 245 | 610.10 219 | 610.10 260 | 610.10 258 |
|
| WBMVS | | | 655.88 212 | 770.84 217 | 310.98 213 | 391.79 223 | 353.00 223 | 2280.68 245 | 99.17 226 | 1776.79 259 | 301.20 218 | 1123.23 241 | 187.34 241 | 390.28 221 | 620.39 221 | 156.98 213 | 189.66 219 |
|
| EG-PatchMatch MVS | | | 437.03 196 | 493.12 200 | 268.77 204 | 264.80 201 | 260.20 209 | 1491.80 235 | 98.00 222 | 723.20 214 | 238.80 204 | 722.40 209 | 63.10 194 | 382.00 217 | 629.00 222 | 207.00 229 | 164.10 212 |
|
| PatchmatchNet |  | | 492.52 203 | 551.22 204 | 316.40 214 | 400.20 225 | 357.90 225 | 1277.10 230 | 115.80 230 | 1034.60 236 | 315.90 220 | 874.00 224 | 155.10 225 | 402.20 222 | 629.50 223 | 158.80 215 | 189.10 218 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| DP-MVS Recon | | | 516.25 206 | 581.17 207 | 321.48 215 | 361.02 213 | 429.00 231 | 1995.36 243 | 78.48 209 | 796.20 219 | 283.32 215 | 796.02 217 | 96.78 203 | 382.98 218 | 636.72 224 | 186.66 226 | 152.46 207 |
|
| PMVS | | 863.65 3 | 957.08 234 | 1054.11 243 | 666.00 248 | 401.00 226 | 495.00 234 | 3790.00 265 | 279.00 261 | 1607.00 257 | 521.00 242 | 1745.00 260 | 90.00 199 | 1105.00 271 | 639.00 225 | 415.00 256 | 398.00 253 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| testing3-2 | | | 489.51 202 | 555.88 205 | 290.42 206 | 362.21 214 | 319.27 217 | 1424.84 232 | 88.81 216 | 964.80 227 | 309.62 219 | 879.13 225 | 174.38 231 | 363.98 212 | 643.82 226 | 155.29 210 | 188.01 217 |
|
| JIA-IIPM | | | 804.30 228 | 835.64 221 | 710.26 251 | 885.90 261 | 895.90 269 | 455.98 191 | 668.73 309 | 1297.17 241 | 1002.26 273 | 1001.67 236 | 655.98 297 | 756.98 252 | 667.90 227 | 885.21 289 | 477.90 255 |
|
| Patchmtry | | | 1090.75 244 | 1198.88 246 | 766.38 255 | 1290.90 276 | 485.90 233 | 2423.98 255 | 1267.30 327 | 1297.17 241 | 923.90 263 | 923.40 227 | 1215.54 320 | 990.23 260 | 667.90 227 | 779.80 277 | 823.02 275 |
|
| RPMNet | | | 787.26 227 | 829.13 220 | 661.63 246 | 885.90 261 | 895.90 269 | 455.98 191 | 610.10 304 | 1297.17 241 | 1002.26 273 | 1001.67 236 | 655.98 297 | 611.10 246 | 667.90 227 | 885.21 289 | 477.90 255 |
|
| MVP-Stereo | | | 473.58 200 | 533.67 202 | 293.33 207 | 376.00 217 | 318.00 215 | 1461.00 233 | 96.00 219 | 835.00 220 | 290.00 216 | 804.00 218 | 97.00 204 | 383.00 219 | 688.00 230 | 156.00 211 | 179.00 214 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 200 | 533.67 202 | 293.33 207 | 376.00 217 | 318.00 215 | 1461.00 233 | 96.00 219 | 835.00 220 | 290.00 216 | 804.00 218 | 97.00 204 | 383.00 219 | 688.00 230 | 156.00 211 | 179.00 214 |
|
| SSC-MVS3.2 | | | 667.82 214 | 787.71 218 | 308.16 211 | 385.94 221 | 327.65 220 | 1718.51 238 | 117.00 232 | 1942.46 264 | 317.12 221 | 1488.73 255 | 183.89 232 | 404.82 223 | 763.70 232 | 172.02 221 | 192.01 221 |
|
| UBG | | | 667.82 214 | 787.71 218 | 308.16 211 | 385.94 221 | 327.65 220 | 1718.51 238 | 117.00 232 | 1942.46 264 | 317.12 221 | 1488.73 255 | 183.89 232 | 404.82 223 | 763.70 232 | 172.02 221 | 192.01 221 |
|
| DELS-MVS | | | 514.57 205 | 587.73 208 | 295.12 209 | 343.03 211 | 328.09 222 | 1540.48 237 | 116.22 231 | 988.59 228 | 325.44 223 | 906.22 226 | 119.86 215 | 365.72 215 | 788.60 234 | 161.09 217 | 191.55 220 |
| 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 |
| IterMVS | | | 615.05 210 | 691.66 213 | 385.23 220 | 516.40 232 | 454.80 232 | 1863.80 241 | 102.10 227 | 1142.20 238 | 364.10 226 | 1093.20 240 | 135.00 218 | 480.40 228 | 826.90 235 | 181.20 223 | 220.50 224 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| FPMVS | | | 1407.00 252 | 1495.59 254 | 1141.23 265 | 648.01 254 | 893.85 268 | 4124.00 267 | 503.81 294 | 3219.04 275 | 742.72 262 | 2498.84 271 | 157.98 226 | 1727.83 278 | 832.93 236 | 732.98 276 | 802.00 270 |
|
| PatchT | | | 856.34 231 | 860.99 224 | 842.38 256 | 1290.90 276 | 880.90 267 | 790.30 200 | 1267.30 327 | 579.21 198 | 923.90 263 | 567.40 194 | 662.54 299 | 990.23 260 | 887.56 237 | 779.80 277 | 656.02 261 |
|
| Gipuma | | | 689.75 216 | 767.00 216 | 458.00 229 | 613.00 244 | 549.00 247 | 1943.00 242 | 187.00 256 | 1230.00 240 | 518.00 241 | 1092.00 239 | 203.00 249 | 564.00 234 | 892.00 238 | 225.00 239 | 261.00 233 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| IB-MVS | | 872.44 4 | 616.41 211 | 700.96 214 | 362.78 218 | 426.10 228 | 409.25 229 | 1822.69 240 | 124.42 242 | 1186.23 239 | 366.85 227 | 1079.42 238 | 190.60 243 | 451.78 227 | 930.72 239 | 181.59 224 | 227.30 225 |
| 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 |
| ACMH+ | | 729.97 2 | 661.38 213 | 754.00 215 | 383.51 219 | 368.96 215 | 376.38 226 | 2483.74 257 | 82.42 211 | 1089.25 237 | 333.39 224 | 1219.68 242 | 66.53 196 | 573.60 242 | 957.86 240 | 184.14 225 | 200.56 223 |
|
| SixPastTwentyTwo | | | 773.62 219 | 869.37 225 | 486.35 232 | 603.45 236 | 547.15 246 | 2532.14 258 | 106.92 229 | 1434.95 245 | 428.08 229 | 1360.56 245 | 165.15 229 | 628.96 248 | 984.09 241 | 209.01 231 | 282.94 236 |
|
| ambc | | | | | 999.00 257 | 999.00 266 | 999.00 271 | 999.00 213 | 999.00 320 | | 999.00 266 | 999.00 229 | 999.00 312 | 999.00 262 | 999.00 242 | 999.00 296 | 999.00 293 |
|
| OurMVSNet-221017-0 | | | 999.00 237 | 999.00 236 | 999.00 257 | 999.00 266 | 999.00 271 | 999.00 213 | 999.00 320 | 999.00 230 | 999.00 266 | 999.00 229 | 999.00 312 | 999.00 262 | 999.00 242 | 999.00 296 | 999.00 293 |
|
| EPMVS | | | 999.00 237 | 999.00 236 | 999.00 257 | 999.00 266 | 999.00 271 | 999.00 213 | 999.00 320 | 999.00 230 | 999.00 266 | 999.00 229 | 999.00 312 | 999.00 262 | 999.00 242 | 999.00 296 | 999.00 293 |
|
| uanet_test | | | 1000.00 239 | 1000.00 238 | 1000.00 260 | 1000.00 269 | 1000.00 274 | 1000.00 216 | 1000.00 323 | 1000.00 232 | 1000.00 269 | 1000.00 232 | 1000.00 315 | 1000.00 265 | 1000.00 245 | 1000.00 299 | 1000.00 296 |
|
| sosnet | | | 1000.00 239 | 1000.00 238 | 1000.00 260 | 1000.00 269 | 1000.00 274 | 1000.00 216 | 1000.00 323 | 1000.00 232 | 1000.00 269 | 1000.00 232 | 1000.00 315 | 1000.00 265 | 1000.00 245 | 1000.00 299 | 1000.00 296 |
|
| USDC | | | 1000.00 239 | 1000.00 238 | 1000.00 260 | 1000.00 269 | 1000.00 274 | 1000.00 216 | 1000.00 323 | 1000.00 232 | 1000.00 269 | 1000.00 232 | 1000.00 315 | 1000.00 265 | 1000.00 245 | 1000.00 299 | 1000.00 296 |
|
| TinyColmap | | | 1000.00 239 | 1000.00 238 | 1000.00 260 | 1000.00 269 | 1000.00 274 | 1000.00 216 | 1000.00 323 | 1000.00 232 | 1000.00 269 | 1000.00 232 | 1000.00 315 | 1000.00 265 | 1000.00 245 | 1000.00 299 | 1000.00 296 |
|
| new-patchmatchnet | | | 766.12 218 | 859.03 223 | 487.38 233 | 595.68 234 | 536.14 237 | 2346.27 247 | 142.51 247 | 1488.08 246 | 422.43 228 | 1361.32 246 | 163.65 228 | 628.60 247 | 1003.74 249 | 207.61 230 | 297.41 239 |
|
| IterMVS-LS | | | 758.94 217 | 856.56 222 | 466.10 230 | 606.60 237 | 546.80 245 | 2309.90 246 | 122.20 241 | 1402.80 244 | 463.50 231 | 1348.20 244 | 192.60 244 | 574.60 243 | 1028.60 250 | 234.60 241 | 276.90 235 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| lessismore_v0 | | | | | 569.20 238 | 667.25 255 | 644.68 255 | | 96.45 221 | | 428.86 230 | 1514.17 257 | 204.21 250 | 756.58 251 | 1061.60 251 | 197.79 228 | 306.34 240 |
|
| mvs_anonymous | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
|
| casdiffmvs | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
| 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 | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
| 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 | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
|
| baseline1 | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
|
| casdiffmvs_mvg | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
| 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 | | | 774.90 220 | 882.28 226 | 452.77 222 | 636.50 246 | 537.20 238 | 2348.80 248 | 120.30 234 | 1504.30 247 | 474.40 232 | 1371.10 247 | 186.90 234 | 564.70 235 | 1078.90 252 | 219.30 232 | 256.40 226 |
|
| K. test v3 | | | 877.74 232 | 980.16 235 | 570.46 239 | 1316.85 278 | 813.15 264 | 2565.52 259 | 103.78 228 | 1509.49 254 | 548.33 243 | 1258.90 243 | 219.93 254 | 587.82 244 | 1102.37 259 | 196.30 227 | 310.42 241 |
|
| PVSNet | | 1207.94 6 | 829.56 230 | 937.18 233 | 506.69 234 | 645.55 253 | 585.72 248 | 2477.98 256 | 130.52 243 | 1578.29 255 | 509.50 240 | 1460.01 254 | 194.90 245 | 637.19 249 | 1170.78 260 | 267.07 245 | 297.17 238 |
|
| MVSTER | | | 890.06 233 | 1005.91 242 | 542.52 235 | 736.13 258 | 653.90 256 | 2616.56 260 | 145.22 249 | 1692.10 258 | 555.69 247 | 1554.72 258 | 266.25 256 | 660.02 250 | 1219.66 261 | 266.84 244 | 313.64 242 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 236 | 1066.82 244 | 673.70 249 | 706.94 256 | 695.69 257 | 2669.02 261 | 153.52 251 | 2108.17 267 | 605.54 249 | 1679.14 259 | 213.26 253 | 886.75 257 | 1236.76 262 | 229.01 240 | 438.67 254 |
|
| ACMH | | 993.80 5 | 967.92 235 | 1106.11 245 | 553.33 236 | 494.00 231 | 534.00 236 | 3581.00 263 | 136.00 244 | 1585.00 256 | 478.00 239 | 1871.00 262 | 90.00 199 | 839.00 254 | 1460.00 263 | 260.00 242 | 287.00 237 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| ACMM | | 1311.08 8 | 1165.06 247 | 1332.72 250 | 662.07 247 | 584.90 233 | 715.99 259 | 4373.59 270 | 153.99 252 | 1880.27 262 | 709.02 258 | 2316.97 266 | 188.63 242 | 939.89 259 | 1484.30 264 | 302.78 250 | 330.34 243 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| ACMP | | 1246.57 7 | 1086.24 243 | 1235.17 247 | 639.45 243 | 596.53 235 | 639.91 254 | 3904.24 266 | 152.04 250 | 1851.54 261 | 566.58 248 | 1997.95 264 | 138.50 220 | 938.30 258 | 1605.46 265 | 303.70 251 | 340.14 244 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| test_0402 | | | 1110.00 245 | 1260.00 248 | 660.00 245 | 900.00 264 | 780.00 263 | 3300.00 262 | 210.00 258 | 2040.00 266 | 690.00 256 | 1950.00 263 | 300.00 260 | 810.00 253 | 1620.00 266 | 330.00 252 | 390.00 252 |
|
| MG-MVS | | | 1256.50 249 | 1432.00 252 | 730.00 252 | 610.00 238 | 760.00 261 | 4720.00 271 | 169.00 253 | 1920.00 263 | 723.00 260 | 2510.00 272 | 201.00 247 | 1050.00 269 | 1645.00 267 | 390.00 255 | 380.00 250 |
|
| MVS_111021_LR | | | 1136.45 246 | 1298.72 249 | 649.64 244 | 756.17 259 | 726.26 260 | 3785.94 264 | 138.15 246 | 2190.64 268 | 629.63 254 | 2064.39 265 | 165.45 230 | 874.83 256 | 1678.43 268 | 279.70 246 | 347.82 247 |
|
| CSCG | | | 826.03 229 | 963.29 234 | 414.24 221 | 421.52 227 | 426.11 230 | 2230.35 244 | 179.52 255 | 1827.44 260 | 733.43 261 | 933.12 228 | 281.25 257 | 545.23 233 | 1800.35 269 | 262.64 243 | 271.38 234 |
|
| TSAR-MVS + GP. | | | 1386.84 251 | 1622.84 255 | 678.81 250 | 952.13 265 | 840.17 266 | 5358.21 274 | 170.75 254 | 2650.47 273 | 713.54 259 | 2394.28 270 | 209.42 252 | 855.56 255 | 1854.36 270 | 302.42 249 | 340.71 245 |
|
| ACMMPR | | | 1296.60 250 | 1480.82 253 | 743.96 254 | 899.25 263 | 763.47 262 | 4305.47 269 | 143.90 248 | 2530.94 272 | 683.99 255 | 2346.34 268 | 201.65 248 | 1098.25 270 | 1920.59 271 | 295.21 247 | 370.16 248 |
|
| MSLP-MVS++ | | | 1242.93 248 | 1411.08 251 | 738.48 253 | 712.71 257 | 712.68 258 | 4168.17 268 | 136.50 245 | 2276.40 269 | 613.28 253 | 2368.60 269 | 161.61 227 | 1130.38 272 | 1964.54 272 | 297.88 248 | 372.39 249 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 253 | 1886.82 257 | 481.89 231 | 847.73 260 | 830.16 265 | 7943.84 290 | 189.23 257 | 2398.83 270 | 691.73 257 | 2341.13 267 | 209.16 251 | 230.25 196 | 1999.25 273 | 360.46 253 | 385.25 251 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| ZD-MVS | | | | | | 1584.00 281 | 1821.00 304 | | 378.00 273 | 3721.00 279 | 1231.00 280 | 1833.00 261 | 321.00 263 | 1224.00 273 | 2103.00 274 | 692.00 270 | |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 254 | 1869.33 256 | 1025.33 264 | 1030.00 273 | 1023.00 278 | 5311.00 273 | 359.00 270 | 3044.00 274 | 937.00 265 | 2892.00 273 | 332.00 264 | 1440.00 275 | 2312.00 275 | 607.00 259 | 613.00 260 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| CMPMVS |  | 2623.62 15 | 1983.08 257 | 2156.14 259 | 1463.89 278 | 1414.80 280 | 1517.00 284 | 5239.20 272 | 867.40 314 | 3310.30 276 | 1128.70 277 | 3489.90 276 | 366.75 269 | 2030.20 289 | 2427.60 276 | 1160.60 308 | 844.46 278 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| F-COLMAP | | | 1878.17 255 | 2113.11 258 | 1173.33 268 | 1231.00 274 | 1174.00 279 | 6297.00 276 | 392.00 275 | 3356.00 277 | 1087.00 275 | 3082.00 274 | 361.00 268 | 1670.00 277 | 2523.00 277 | 689.00 266 | 676.00 265 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 256 | 2224.88 260 | 1163.39 267 | 1253.91 275 | 1434.22 282 | 7065.71 280 | 272.76 260 | 2472.29 271 | 1647.54 305 | 3538.72 277 | 200.37 246 | 1496.48 276 | 2575.17 278 | 997.45 295 | 559.48 257 |
|
| EGC-MVSNET | | | 2819.75 271 | 3096.89 274 | 1988.33 292 | 3105.00 322 | 2241.00 312 | 9480.00 301 | 640.00 308 | 4209.00 283 | 1583.00 298 | 4740.00 289 | 547.00 284 | 2797.00 305 | 2644.00 279 | 924.00 292 | 927.00 286 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 261 | 2597.03 264 | 1297.84 269 | 1701.20 283 | 1332.37 280 | 8105.11 291 | 451.45 283 | 4031.84 282 | 1099.10 276 | 3966.50 281 | 467.45 276 | 1734.05 279 | 2701.68 280 | 848.94 286 | 827.11 276 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| PLC | | 2858.82 16 | 2192.92 259 | 2474.00 262 | 1349.67 270 | 1407.00 279 | 1356.00 281 | 7164.00 281 | 475.00 287 | 3970.00 281 | 1237.00 282 | 3765.00 280 | 451.00 275 | 1891.00 283 | 3006.00 281 | 791.00 282 | 802.00 270 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| MVS-HIRNet | | | 2125.39 258 | 2452.68 261 | 1143.53 266 | 2938.33 321 | 1446.92 283 | 6083.19 275 | 391.74 274 | 3801.71 280 | 1202.10 279 | 3439.72 275 | 492.73 278 | 1304.35 274 | 3048.25 282 | 676.32 265 | 679.32 266 |
|
| OpenMVS | | 2352.88 13 | 2263.08 260 | 2530.89 263 | 1459.67 277 | 1767.00 291 | 1591.00 287 | 7932.00 289 | 399.00 276 | 3643.00 278 | 1176.00 278 | 3569.00 278 | 297.00 259 | 1927.00 285 | 3302.00 283 | 693.00 271 | 861.00 279 |
|
| CHOSEN 280x420 | | | 2340.81 262 | 2643.03 265 | 1434.14 271 | 2025.55 300 | 1629.36 291 | 6542.40 277 | 412.49 277 | 4219.70 284 | 1547.02 293 | 4328.52 283 | 650.74 294 | 1798.26 280 | 3333.17 284 | 727.72 273 | 874.79 280 |
|
| CHOSEN 1792x2688 | | | 2340.81 262 | 2643.03 265 | 1434.14 271 | 2025.55 300 | 1629.36 291 | 6542.40 277 | 412.49 277 | 4219.70 284 | 1547.02 293 | 4328.52 283 | 650.74 294 | 1798.26 280 | 3333.17 284 | 727.72 273 | 874.79 280 |
|
| HyFIR lowres test | | | 2340.81 262 | 2643.03 265 | 1434.14 271 | 2025.55 300 | 1629.36 291 | 6542.40 277 | 412.49 277 | 4219.70 284 | 1547.02 293 | 4328.52 283 | 650.74 294 | 1798.26 280 | 3333.17 284 | 727.72 273 | 874.79 280 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 269 | 3021.57 271 | 1618.12 280 | 2377.67 307 | 1751.39 300 | 8915.70 296 | 567.44 302 | 4569.74 289 | 1236.84 281 | 4615.63 287 | 513.23 279 | 2291.32 291 | 3515.48 287 | 882.39 288 | 811.66 272 |
|
| LS3D | | | 7684.71 294 | 8776.23 297 | 4410.16 310 | 5298.55 327 | 5631.53 329 | 34329.90 327 | 1504.57 329 | 11554.00 331 | 3896.41 323 | 15111.00 328 | 812.19 304 | 5985.63 324 | 3516.20 288 | 2963.23 323 | 1613.31 309 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 275 | 3601.83 278 | 1814.72 288 | 2515.52 310 | 1941.53 305 | 10432.50 311 | 589.42 303 | 4789.45 290 | 1298.65 284 | 7677.31 312 | 578.35 286 | 2589.53 297 | 3611.78 289 | 923.52 291 | 913.10 284 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| 3Dnovator | | 2482.06 14 | 2531.17 265 | 2839.56 268 | 1606.00 279 | 1732.00 287 | 1557.00 286 | 8375.00 293 | 483.00 288 | 4370.00 287 | 1371.00 288 | 4200.00 282 | 350.00 266 | 2207.00 290 | 3877.00 290 | 798.00 283 | 1054.00 300 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 293 | 1363.85 285 | 4894.28 291 | 387.23 270 | 2023.43 286 | 3973.88 291 | 620.04 262 | 732.56 267 |
|
| test_0728_SECOND | | | | | 1451.45 275 | 1725.60 284 | 1598.35 288 | 9203.30 297 | 315.86 264 | | | | | 2023.43 286 | 3973.88 291 | 620.04 262 | 732.56 267 |
|
| SD-MVS | | | 2654.53 268 | 3055.56 273 | 1451.45 275 | 1725.60 284 | 1598.35 288 | 9203.30 297 | 315.86 264 | 5016.02 293 | 1363.85 285 | 4894.28 291 | 387.23 270 | 2023.43 286 | 3973.88 291 | 620.04 262 | 732.56 267 |
| 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 |
| tpmrst | | | 2557.50 266 | 2847.12 269 | 1688.66 282 | 1784.08 292 | 1778.25 301 | 7445.50 287 | 342.14 267 | 4471.54 288 | 1534.55 292 | 4382.10 286 | 530.10 282 | 2361.21 293 | 4142.81 294 | 991.22 294 | 926.51 285 |
|
| AdaColmap | | | 2570.77 267 | 2948.61 270 | 1437.24 274 | 1873.64 293 | 1526.60 285 | 7819.77 288 | 373.97 271 | 4970.45 291 | 1479.29 290 | 4648.46 288 | 525.80 281 | 1904.97 284 | 4150.42 295 | 695.69 272 | 880.14 283 |
|
| LF4IMVS | | | 2699.50 270 | 3049.67 272 | 1649.00 281 | 1755.00 288 | 1689.00 295 | 8330.00 292 | 464.00 285 | 4997.00 292 | 1528.00 291 | 4763.00 290 | 568.00 285 | 2296.00 292 | 4215.00 296 | 827.00 285 | 962.00 290 |
|
| Vis-MVSNet | | | 2877.42 272 | 3170.00 275 | 1999.67 293 | 1673.00 282 | 2042.00 310 | 8593.00 294 | 474.00 286 | 6452.00 306 | 1268.00 283 | 5125.00 294 | 339.00 265 | 3004.00 307 | 4222.00 297 | 384.00 254 | 953.00 289 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| SteuartSystems-ACMMP | | | 2891.50 273 | 3284.78 276 | 1711.67 283 | 1954.00 294 | 1655.00 294 | 10117.00 310 | 445.00 282 | 5102.00 296 | 1375.00 289 | 5126.00 295 | 351.00 267 | 2638.00 303 | 4402.00 298 | 691.00 269 | 842.00 277 |
| Skip Steuart: Steuart Systems R&D Blog. |
| 3Dnovator+ | | 3414.41 17 | 3146.67 274 | 3537.00 277 | 1975.67 290 | 2310.00 305 | 2005.00 309 | 10100.00 309 | 626.00 307 | 5753.00 297 | 1803.00 308 | 5179.00 296 | 487.00 277 | 2622.00 301 | 4550.00 299 | 1025.00 303 | 1300.00 307 |
|
| ITE_SJBPF | | | | | 2014.00 294 | 1998.00 295 | 1992.00 308 | | 701.00 310 | 5989.00 298 | 1812.00 309 | 3612.00 279 | 650.00 293 | 2852.00 306 | 4601.00 300 | 1195.00 309 | 1198.00 306 |
|
| MVS_111021_HR | | | 3742.80 284 | 4330.34 287 | 1980.20 291 | 2484.31 309 | 2259.52 313 | 14973.80 320 | 515.90 301 | 6500.13 307 | 1949.21 310 | 6146.89 299 | 535.66 283 | 2593.66 298 | 4880.76 301 | 986.37 293 | 1087.43 301 |
|
| DPM-MVS | | | 3268.00 276 | 3762.89 279 | 1783.33 286 | 1756.00 289 | 1806.00 302 | 12319.00 313 | 307.00 262 | 6319.00 304 | 1557.00 296 | 5763.00 297 | 302.00 261 | 2609.00 299 | 5061.00 302 | 482.00 257 | 935.00 287 |
|
| OPM-MVS | | | 3268.00 276 | 3762.89 279 | 1783.33 286 | 1756.00 289 | 1806.00 302 | 12319.00 313 | 307.00 262 | 6319.00 304 | 1557.00 296 | 5763.00 297 | 302.00 261 | 2609.00 299 | 5061.00 302 | 482.00 257 | 935.00 287 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| TSAR-MVS + MP. | | | 3528.01 279 | 4065.89 286 | 1914.35 289 | 2349.10 306 | 2141.30 311 | 12362.70 315 | 417.60 281 | 6717.80 310 | 1759.40 307 | 6497.50 300 | 518.18 280 | 2629.38 302 | 5164.32 304 | 806.40 284 | 972.38 292 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| DVP-MVS++ | | | 3981.10 286 | 4731.32 291 | 1730.42 284 | 2191.51 303 | 1949.98 306 | 16473.90 322 | 355.33 268 | 7172.90 315 | 1622.98 303 | 7879.79 313 | 434.33 273 | 2428.11 295 | 5762.12 305 | 689.04 267 | 813.18 273 |
|
| DVP-MVS | | | 3981.10 286 | 4731.32 291 | 1730.42 284 | 2191.51 303 | 1949.98 306 | 16473.90 322 | 355.33 268 | 7172.90 315 | 1622.98 303 | 7879.79 313 | 434.33 273 | 2428.11 295 | 5762.12 305 | 689.04 267 | 813.18 273 |
| 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 |
| MAR-MVS | | | 3973.16 285 | 4387.92 288 | 2728.86 306 | 3345.27 323 | 3341.39 327 | 11403.90 312 | 798.76 312 | 6555.62 309 | 2569.29 320 | 6514.86 301 | 834.97 306 | 3237.43 316 | 5891.08 307 | 1577.54 315 | 1607.76 308 |
| 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 |
| IU-MVS | | | | | | 2725.60 317 | 2598.35 321 | | 515.86 297 | 7016.02 311 | 2363.85 315 | | | | 5973.88 308 | 1620.04 316 | 1732.56 312 |
|
| OPU-MVS | | | | | 2451.45 304 | 2725.60 317 | 2598.35 321 | 9203.30 297 | | | | 6894.28 303 | 887.23 307 | 3023.43 308 | 5973.88 308 | 1620.04 316 | 1732.56 312 |
|
| test_241102_TWO | | | | | | | | | 515.86 297 | 7016.02 311 | 2363.85 315 | 6894.28 303 | 887.23 307 | 3023.43 308 | 5973.88 308 | 1620.04 316 | 1732.56 312 |
|
| MSP-MVS | | | 4296.20 290 | 4911.12 294 | 2451.45 304 | 2725.60 317 | 2598.35 321 | 16203.30 321 | 515.86 297 | 7016.02 311 | 2363.85 315 | 6894.28 303 | 887.23 307 | 3023.43 308 | 5973.88 308 | 1620.04 316 | 1732.56 312 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| MSC_two_6792asdad | | | | | 2237.56 296 | 2643.17 312 | 2465.14 315 | | 493.26 289 | | | | | 3088.29 312 | 6075.14 312 | 1078.39 304 | 1159.26 302 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 318 | 2107.24 311 | 7416.93 309 | 610.24 289 | 3088.29 312 | 6075.14 312 | 1078.39 304 | 1159.26 302 |
|
| No_MVS | | | | | 2237.56 296 | 2643.17 312 | 2465.14 315 | | 493.26 289 | | | | | 3088.29 312 | 6075.14 312 | 1078.39 304 | 1159.26 302 |
|
| SED-MVS | | | 4062.74 289 | 4671.13 290 | 2237.56 296 | 2643.17 312 | 2465.14 315 | 13996.40 317 | 493.26 289 | 7619.38 318 | 2107.24 311 | 7416.93 309 | 610.24 289 | 3088.29 312 | 6075.14 312 | 1078.39 304 | 1159.26 302 |
|
| TAPA-MVS | | 6309.84 21 | 3374.90 278 | 3806.99 281 | 2078.63 295 | 2535.47 311 | 2499.25 320 | 8816.16 295 | 456.05 284 | 6255.60 303 | 1664.52 306 | 6704.88 302 | 629.95 292 | 2768.38 304 | 6343.93 316 | 856.35 287 | 968.25 291 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| API-MVS | | | 4380.83 291 | 4906.56 293 | 2803.67 307 | 3844.00 324 | 3116.00 326 | 13454.00 316 | 901.00 319 | 6511.00 308 | 2794.00 321 | 7365.00 308 | 754.00 303 | 3634.00 317 | 6622.00 317 | 1914.00 321 | 1661.00 311 |
|
| GST-MVS | | | 4000.00 288 | 4533.33 289 | 2400.00 299 | 2400.00 308 | 2400.00 314 | 7200.00 282 | 2400.00 331 | 7200.00 317 | 2400.00 319 | 7200.00 307 | 2400.00 325 | 2400.00 294 | 7200.00 318 | 2400.00 322 | 2400.00 321 |
|
| MVE | | 10021.00 22 | 10550.67 302 | 10002.44 305 | 12195.33 319 | 6242.00 328 | 8768.00 331 | 30896.00 326 | 4451.00 332 | 10331.00 330 | 6247.00 325 | 18296.00 329 | 283.00 258 | 21484.00 333 | 7364.00 319 | 5912.00 325 | 6334.00 323 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| tpm2 | | | 3617.85 280 | 4007.23 282 | 2449.73 300 | 2012.71 296 | 1698.05 296 | 7351.19 283 | 869.29 315 | 6132.06 299 | 1588.28 299 | 8007.42 315 | 1281.09 321 | 3888.11 319 | 7472.04 320 | 1351.00 310 | 1763.02 316 |
|
| tpm cat1 | | | 3617.85 280 | 4007.23 282 | 2449.73 300 | 2012.71 296 | 1698.05 296 | 7351.19 283 | 869.29 315 | 6132.06 299 | 1588.28 299 | 8007.42 315 | 1281.09 321 | 3888.11 319 | 7472.04 320 | 1351.00 310 | 1763.02 316 |
|
| CostFormer | | | 3617.85 280 | 4007.23 282 | 2449.73 300 | 2012.71 296 | 1698.05 296 | 7351.19 283 | 869.29 315 | 6132.06 299 | 1588.28 299 | 8007.42 315 | 1281.09 321 | 3888.11 319 | 7472.04 320 | 1351.00 310 | 1763.02 316 |
|
| tpm | | | 3617.85 280 | 4007.23 282 | 2449.73 300 | 2012.71 296 | 1698.05 296 | 7351.19 283 | 869.29 315 | 6132.06 299 | 1588.28 299 | 8007.42 315 | 1281.09 321 | 3888.11 319 | 7472.04 320 | 1351.00 310 | 1763.02 316 |
|
| OMC-MVS | | | 5022.26 292 | 5748.82 295 | 2842.58 308 | 4905.27 326 | 3101.27 325 | 14933.60 319 | 812.24 313 | 9278.40 322 | 2959.29 322 | 8800.17 319 | 1092.24 319 | 3806.30 318 | 7568.54 324 | 1389.60 314 | 1620.18 310 |
|
| ZNCC-MVS | | | 9999.00 295 | 9999.00 298 | 9999.00 312 | 9999.00 330 | 9999.00 332 | 9999.00 302 | 9999.00 335 | 9999.00 323 | 9999.00 327 | 9999.00 320 | 9999.00 328 | 9999.00 325 | 9999.00 325 | 9999.00 326 | 9999.00 324 |
|
| patch_mono-2 | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| dcpmvs_2 | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| DCPMVS | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| UA-Net | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| uncertanet | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| uanet | | | 10000.00 296 | 10000.00 299 | 10000.00 313 | 10000.00 331 | 10000.00 333 | 10000.00 303 | 10000.00 336 | 10000.00 324 | 10000.00 328 | 10000.00 321 | 10000.00 329 | 10000.00 326 | 10000.00 326 | 10000.00 327 | 10000.00 325 |
|
| CNLPA | | | 10738.67 303 | 11772.44 306 | 7637.33 311 | 9120.00 329 | 8206.00 330 | 22252.00 324 | 2010.00 330 | 24984.00 333 | 7458.00 326 | 22596.00 330 | 2940.00 326 | 10260.00 332 | 11100.00 332 | 3492.00 324 | 4446.00 322 |
|
| CLD-MVS | | | 7338.25 293 | 8341.00 296 | 4330.00 309 | 4902.00 325 | 4991.00 328 | 23318.00 325 | 728.00 311 | 14437.00 332 | 4378.00 324 | 13379.00 327 | 824.00 305 | 5708.00 323 | 11429.00 333 | 1674.00 320 | 2291.00 320 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LTVRE_ROB | | 20565.47 23 | 23378.08 304 | 22805.00 307 | 25097.33 320 | 15500.00 337 | 19201.00 339 | 42712.00 328 | 6055.00 333 | 38388.00 334 | 16926.00 334 | 38534.00 331 | 7071.00 327 | 35653.00 334 | 29475.00 334 | 10584.00 333 | 20438.00 332 |
| 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 | | | 32606.17 305 | 34443.44 308 | 27094.33 321 | 29249.00 338 | 25246.00 340 | 51144.00 329 | 6705.00 334 | 42886.00 335 | 22888.00 335 | 48534.00 332 | 13263.00 335 | 37507.00 335 | 79298.00 335 | 16024.00 334 | 18530.00 331 |
|
| 114514_t | | | 99999.00 306 | 99999.00 309 | 99999.00 322 | 99999.00 339 | 99999.00 341 | 99999.00 330 | 99999.00 342 | 99999.00 336 | 99999.00 336 | 99999.00 333 | 99999.00 336 | 99999.00 336 | 99999.00 336 | 99999.00 335 | 99999.00 333 |
|
| PHI-MVS | | | 99999.00 306 | 99999.00 309 | 99999.00 322 | 99999.00 339 | 99999.00 341 | 99999.00 330 | 99999.00 342 | 99999.00 336 | 99999.00 336 | 99999.00 333 | 99999.00 336 | 99999.00 336 | 99999.00 336 | 99999.00 335 | 99999.00 333 |
|
| XVG-OURS-SEG-HR | | | 999999.00 310 | 999999.00 311 | 999999.00 324 | 999999.00 341 | 999999.00 343 | 999999.00 332 | 999999.00 344 | 999999.00 338 | 999999.00 338 | 999999.00 335 | 999999.00 338 | 999999.00 338 | 999999.00 338 | 999999.00 337 | 999999.00 335 |
|
| XVG-OURS | | | 999999.00 310 | 999999.00 311 | 999999.00 324 | 999999.00 341 | 999999.00 343 | 999999.00 332 | 999999.00 344 | 999999.00 338 | 999999.00 338 | 999999.00 335 | 999999.00 338 | 999999.00 338 | 999999.00 338 | 999999.00 337 | 999999.00 335 |
|
| XVG-ACMP-BASELINE | | | 999999.00 310 | 999999.00 311 | 999999.00 324 | 999999.00 341 | 999999.00 343 | 999999.00 332 | 999999.00 344 | 999999.00 338 | 999999.00 338 | 999999.00 335 | 999999.00 338 | 999999.00 338 | 999999.00 338 | 999999.00 337 | 999999.00 335 |
|
| mamba_0408 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| icg_test_0407_2 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SSM_04072 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SSM_0407 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| IMVS_0407 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| IMVS_0404 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SSM_0404 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| IMVS_0403 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SD_0403 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| NormalMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| lecture | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SymmetryMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Elysia | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| StellarMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| KinetiMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| LuminaMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| VortexMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| AstraMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| guyue | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| sc_t1 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tt0320-xc | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tt0320 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MVSMamba_PlusPlus | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MGCFI-Net | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| sasdasda | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| dmvs_re | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SDMVSNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| dmvs_testset | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| sd_testset | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| balanced_conf03 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MonoMVSNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test2506 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test1111 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| ECVR-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test_blank | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tt0805 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Anonymous20240521 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| cl22 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| miper_ehance_all_eth | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| miper_enhance_ethall | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| cl____ | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| DIV-MVS_self_test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| eth_miper_zixun_eth | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| UniMVSNet_ETH3D | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| miper_lstm_enhance | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| D2MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test_yl | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| thisisatest0530 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Anonymous20240529 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Anonymous202405211 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| DCV-MVSNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tttt0517 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| our_test_3 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| thisisatest0515 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| ppachtmachnet_test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SMA-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| 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 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tfpnnormal | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| tfpn200view9 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| c3_l | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MP-MVS-pluss | | | 833433.63 308 | 1111219.60 314 | 75.70 169 | 74.28 173 | 73.29 176 | 284.50 174 | 11.35 169 | 238.58 178 | 65.86 174 | 255.35 186 | 14.55 167 | 115.69 188 | 10000000.00 341 | 31.94 167 | 38.12 173 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| IterMVS-SCA-FT | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pmmvs6 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pmmvs5 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test_post1 | | | | | | | | 10000000.00 335 | | | | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | | |
|
| Anonymous20231211 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pmmvs-eth3d | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Anonymous20231206 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| SCA | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Patchmatch-test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Patchmatch-RL test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| canonicalmvs | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| anonymousdsp | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| FIs | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| FC-MVSNet-test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| sosnet-low-res | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| AllTest | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| TestCases | | | | | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| RRT-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| mamv4 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| HPM-MVS++ | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| XVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pm-mvs1 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| X-MVStestdata | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| APDe-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pmmvs4 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test-LLR | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| TESTMET0.1,1 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test-mter | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| testgi | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test20.03 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| thres600view7 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MP-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| thres400 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test123 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| thres200 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| test0.0.03 1 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| pmmvs3 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| EMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| E-PMN | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PGM-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MCST-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| MVS_Test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PMMVS2 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PM-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| HQP_MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| plane_prior5 | | | | | | | | | 10000000.00 347 | | | | | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| mPP-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| mvsmamba | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| HPM-MVS_fast | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| HPM-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| LGP-MVS_train | | | | | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| EPNet_dtu | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 341 | | |
|
| CNVR-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| NCCC | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| CP-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| CPTT-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| HQP-MVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| IS-MVSNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PAPM_NR | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PAPR | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PatchMatch-RL | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| TDRefinement | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| EPP-MVSNet | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PMMVS | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| PAPM | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| ACMMP | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
| 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 | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| wuyk23d | | | 10000000.00 313 | 10000000.00 316 | 10000000.00 327 | 10000000.00 344 | 10000000.00 346 | 10000000.00 335 | 10000000.00 347 | 10000000.00 341 | 10000000.00 341 | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | 10000000.00 341 | 10000000.00 340 | 10000000.00 338 |
|
| APD-MVS | | | 1000000000.00 444 | 1000000000.00 447 | 1000000000.00 460 | 1000000000.00 485 | 1000000000.00 485 | 1000000000.00 471 | 1000000000.00 485 | 1000000000.00 478 | 1000000000.00 479 | 1000000000.00 476 | 1000000000.00 481 | 1000000000.00 479 | 1000000000.00 478 | 1000000000.00 477 | 1000000000.00 475 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| FOURS1 | | | | | | 2643.17 312 | 2465.14 315 | 13996.40 317 | 493.26 289 | 7619.38 318 | 2107.24 311 | | | | | | |
|
| test_one_0601 | | | | | | 2643.17 312 | 2465.14 315 | | 493.26 289 | 7619.38 318 | 2107.24 311 | 7416.93 309 | 610.24 289 | | | | |
|
| eth-test2 | | | | | | 1.42 98 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 344 | | | | | | | | | | | |
|
| test_241102_ONE | | | | | | 2725.60 317 | 2598.35 321 | | 515.86 297 | 7016.02 311 | 2363.85 315 | 6894.28 303 | 887.23 307 | 3023.43 308 | | | |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test0726 | | | | | | 1725.60 284 | 1598.35 288 | 9203.30 297 | 315.86 264 | 5016.02 293 | 1363.85 285 | 4894.28 291 | 387.23 270 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 338 |
|
| test_part2 | | | | | | 10000000.00 344 | 10000000.00 346 | | | | 10000000.00 341 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 341 | | | | 10000000.00 338 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 341 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 347 | | | | | | | | |
|
| test_post | | | | | | | | | | | | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 338 | 10000000.00 341 | 10000000.00 341 | | | |
|
| MTMP | | | | | | | | 10000000.00 335 | 10000000.00 347 | | | | | | | | |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 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 |
|
| æ–°å‡ ä½•2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| plane_prior7 | | | | | | 10000000.00 344 | 10000000.00 346 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 344 | 10000000.00 346 | | | | | | 10000000.00 341 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 338 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 346 | | | 10000000.00 341 | 10000000.00 341 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 335 | | 10000000.00 341 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 344 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 92 | 2.00 130 | | 2.00 131 | | | | | | 2.00 129 | |
|
| n2 | | | | | | | | | 14.20 172 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 100 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 100 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 93 | | | | | | | | |
|
| door | | | | | | | | | 99.00 225 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 346 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 344 | | 10000000.00 335 | | 10000000.00 341 | 10000000.00 341 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 344 | | 10000000.00 335 | | 10000000.00 341 | 10000000.00 341 | | | | | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 341 | | | 10000000.00 341 | | | 10000000.00 338 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 347 | | | | | | | 10000000.00 340 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 341 | | | | |
|
| NP-MVS | | | | | | 10000000.00 344 | 10000000.00 346 | | | | | 10000000.00 338 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 340 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 340 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 311 | | | | |
|
