| viewmacassd2359aftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmsd2359difaftdt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| diffmvs_AUTHOR | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_9 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmambaseed2359dif | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| viewmanbaseed2359cas | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_9 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_8 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_7 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_6 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_5 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_4 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_l_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n_a | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| fmvsm_s_conf0.5_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| h-mvs33 | | | 0.30 52 | 0.30 53 | 0.30 57 | 0.30 64 | 0.30 64 | 0.30 64 | 0.30 65 | 0.30 64 | 0.30 63 | 0.30 61 | 0.30 63 | 0.30 64 | 0.30 62 | 0.30 62 | 0.30 62 |
|
| hse-mvs2 | | | 0.30 52 | 0.30 53 | 0.30 57 | 0.30 64 | 0.30 64 | 0.30 64 | 0.30 65 | 0.30 64 | 0.30 63 | 0.30 61 | 0.30 63 | 0.30 64 | 0.30 62 | 0.30 62 | 0.30 62 |
|
| CL-MVSNet_self_test | | | 0.30 52 | 0.30 53 | 0.30 57 | 0.30 64 | 0.30 64 | 0.30 64 | 0.30 65 | 0.30 64 | 0.30 63 | 0.30 61 | 0.30 63 | 0.30 64 | 0.30 62 | 0.30 62 | 0.30 62 |
|
| AUN-MVS | | | 0.30 52 | 0.30 53 | 0.30 57 | 0.30 64 | 0.30 64 | 0.30 64 | 0.30 65 | 0.30 64 | 0.30 63 | 0.30 61 | 0.30 63 | 0.30 64 | 0.30 62 | 0.30 62 | 0.30 62 |
|
| LCM-MVSNet | | | 0.37 56 | 0.36 57 | 0.37 61 | 0.37 68 | 0.37 68 | 0.37 68 | 0.32 69 | 0.37 68 | 0.37 67 | 0.37 65 | 0.37 67 | 0.37 68 | 0.37 66 | 0.37 66 | 0.37 66 |
|
| v144192 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v1921920 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v1192 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v1144 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v148 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v7n | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v1240 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v8 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v10 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| v2v482 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| V42 | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| GA-MVS | | | 0.40 57 | 0.40 58 | 0.40 62 | 0.40 69 | 0.40 69 | 0.40 69 | 0.40 71 | 0.40 69 | 0.40 68 | 0.40 66 | 0.40 68 | 0.40 69 | 0.40 67 | 0.40 67 | 0.40 67 |
|
| Fast-Effi-MVS+ | | | 0.41 69 | 0.40 58 | 0.41 74 | 0.41 81 | 0.41 81 | 0.41 81 | 0.35 70 | 0.41 81 | 0.41 80 | 0.41 78 | 0.41 80 | 0.41 81 | 0.41 79 | 0.41 79 | 0.41 79 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 70 | 0.44 71 | 0.44 75 | 0.44 82 | 0.44 82 | 0.44 82 | 0.44 83 | 0.44 82 | 0.44 81 | 0.44 79 | 0.44 81 | 0.44 82 | 0.44 80 | 0.44 80 | 0.44 80 |
|
| Effi-MVS+ | | | 0.58 71 | 0.56 72 | 0.62 78 | 0.53 83 | 0.62 85 | 0.53 83 | 0.53 84 | 0.53 83 | 0.62 84 | 0.62 82 | 0.53 82 | 0.62 85 | 0.62 82 | 0.53 81 | 0.62 83 |
|
| Effi-MVS+-dtu | | | 0.59 72 | 0.61 74 | 0.53 76 | 0.68 90 | 0.53 83 | 0.53 83 | 0.68 91 | 0.68 90 | 0.53 82 | 0.53 80 | 0.68 89 | 0.53 83 | 0.68 88 | 0.53 81 | 0.53 81 |
|
| KD-MVS_self_test | | | 0.60 73 | 0.60 73 | 0.60 77 | 0.60 84 | 0.60 84 | 0.60 85 | 0.60 85 | 0.60 84 | 0.60 83 | 0.60 81 | 0.60 83 | 0.60 84 | 0.60 81 | 0.60 83 | 0.60 82 |
|
| EIA-MVS | | | 0.62 74 | 0.62 75 | 0.62 78 | 0.62 85 | 0.62 85 | 0.62 86 | 0.62 86 | 0.62 85 | 0.62 84 | 0.62 82 | 0.62 84 | 0.62 85 | 0.62 82 | 0.62 84 | 0.62 83 |
|
| ETV-MVS | | | 0.62 74 | 0.62 75 | 0.62 78 | 0.62 85 | 0.62 85 | 0.62 86 | 0.62 86 | 0.62 85 | 0.62 84 | 0.62 82 | 0.62 84 | 0.62 85 | 0.62 82 | 0.62 84 | 0.62 83 |
|
| CS-MVS | | | 0.62 74 | 0.62 75 | 0.62 78 | 0.62 85 | 0.62 85 | 0.62 86 | 0.62 86 | 0.62 85 | 0.62 84 | 0.62 82 | 0.62 84 | 0.62 85 | 0.62 82 | 0.62 84 | 0.62 83 |
|
| SPE-MVS-test | | | 0.62 74 | 0.62 75 | 0.62 78 | 0.62 85 | 0.62 85 | 0.62 86 | 0.62 86 | 0.62 85 | 0.62 84 | 0.62 82 | 0.62 84 | 0.62 85 | 0.62 82 | 0.62 84 | 0.62 83 |
|
| EC-MVSNet | | | 0.62 74 | 0.62 75 | 0.62 78 | 0.62 85 | 0.62 85 | 0.62 86 | 0.62 86 | 0.62 85 | 0.62 84 | 0.62 82 | 0.62 84 | 0.62 85 | 0.62 82 | 0.62 84 | 0.62 83 |
|
| CDS-MVSNet | | | 0.88 79 | 0.88 80 | 0.88 84 | 0.88 91 | 0.88 91 | 0.88 91 | 0.88 92 | 0.88 91 | 0.88 90 | 0.88 88 | 0.88 90 | 0.88 91 | 0.88 89 | 0.88 89 | 0.88 89 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 79 | 0.88 80 | 0.88 84 | 0.88 91 | 0.88 91 | 0.88 91 | 0.88 92 | 0.88 91 | 0.88 90 | 0.88 88 | 0.88 90 | 0.88 91 | 0.88 89 | 0.88 89 | 0.88 89 |
|
| LCM-MVSNet-Re | | | 0.89 81 | 0.89 82 | 0.89 86 | 0.89 93 | 0.89 93 | 0.89 93 | 0.89 94 | 0.89 93 | 0.89 92 | 0.89 90 | 0.89 92 | 0.89 93 | 0.89 91 | 0.89 91 | 0.89 91 |
|
| MDA-MVSNet-bldmvs | | | 1.20 82 | 1.20 83 | 1.20 88 | 1.20 95 | 1.20 96 | 1.20 94 | 1.20 97 | 1.20 95 | 1.20 94 | 1.20 92 | 1.20 94 | 1.20 95 | 1.20 93 | 1.20 93 | 1.20 93 |
|
| YYNet1 | | | 1.20 82 | 1.20 83 | 1.20 88 | 1.20 95 | 1.20 96 | 1.20 94 | 1.20 97 | 1.20 95 | 1.20 94 | 1.20 92 | 1.20 94 | 1.20 95 | 1.20 93 | 1.20 93 | 1.20 93 |
|
| MDA-MVSNet_test_wron | | | 1.20 82 | 1.20 83 | 1.20 88 | 1.20 95 | 1.20 96 | 1.20 94 | 1.20 97 | 1.20 95 | 1.20 94 | 1.20 92 | 1.20 94 | 1.20 95 | 1.20 93 | 1.20 93 | 1.20 93 |
|
| KD-MVS_2432*1600 | | | 1.30 85 | 1.30 86 | 1.30 91 | 1.30 98 | 1.30 99 | 1.30 97 | 1.30 100 | 1.30 98 | 1.30 97 | 1.30 95 | 1.30 97 | 1.30 98 | 1.30 96 | 1.30 96 | 1.30 96 |
|
| miper_refine_blended | | | 1.30 85 | 1.30 86 | 1.30 91 | 1.30 98 | 1.30 99 | 1.30 97 | 1.30 100 | 1.30 98 | 1.30 97 | 1.30 95 | 1.30 97 | 1.30 98 | 1.30 96 | 1.30 96 | 1.30 96 |
|
| EI-MVSNet-UG-set | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| EI-MVSNet-Vis-set | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| EI-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| Regformer | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| CVMVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| EU-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| PS-CasMVS | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| PEN-MVS | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| TransMVSNet (Re) | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| DTE-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| DU-MVS | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| UniMVSNet (Re) | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| CP-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| WR-MVS_H | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| WR-MVS | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| NR-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| Baseline_NR-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| MVSFormer | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| jason | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
| jason: jason. |
| lupinMVS | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| test_djsdf | | | 1.42 87 | 1.42 88 | 1.42 93 | 1.42 100 | 1.42 101 | 1.42 99 | 1.42 102 | 1.42 100 | 1.42 99 | 1.42 97 | 1.42 99 | 1.42 100 | 1.42 98 | 1.42 98 | 1.42 98 |
|
| reproduce_monomvs | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| mmtdpeth | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| reproduce_model | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| reproduce-ours | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| our_new_method | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| mmdepth | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| monomultidepth | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| mvs5depth | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| MVStest1 | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| ttmdpeth | | | 1.48 110 | 1.48 111 | 1.48 116 | 1.48 124 | 1.48 124 | 1.48 122 | 1.48 127 | 1.48 123 | 1.48 122 | 1.48 120 | 1.48 122 | 1.48 123 | 1.48 121 | 1.48 121 | 1.48 121 |
|
| alignmvs | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| nrg030 | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| LFMVS | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| VDD-MVS | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| VDDNet | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| VPNet | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| VNet | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| VPA-MVSNet | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| cascas | | | 2.00 120 | 2.00 121 | 2.00 126 | 2.00 134 | 2.00 134 | 2.00 132 | 2.00 137 | 2.00 133 | 2.00 132 | 2.00 130 | 2.00 132 | 2.00 133 | 2.00 131 | 2.00 131 | 2.00 131 |
|
| UnsupCasMVSNet_eth | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| UnsupCasMVSNet_bld | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| WTY-MVS | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| HY-MVS | | 5.90 1 | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| sss | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| Test_1112_low_res | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| 1112_ss | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| ab-mvs-re | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| ab-mvs | | | 5.90 129 | 5.90 130 | 5.90 135 | 5.90 143 | 5.90 143 | 5.90 142 | 5.90 149 | 5.90 143 | 5.90 141 | 5.90 139 | 5.90 143 | 5.90 142 | 5.90 140 | 5.90 143 | 5.90 143 |
|
| CDPH-MVS | | | 6.66 138 | 6.66 139 | 6.66 144 | 6.66 152 | 6.66 152 | 6.66 151 | 6.66 158 | 6.66 152 | 6.66 150 | 6.66 148 | 6.66 152 | 6.66 151 | 6.66 149 | 6.66 152 | 6.66 152 |
|
| xiu_mvs_v1_base_debu | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| xiu_mvs_v2_base | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| xiu_mvs_v1_base | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| xiu_mvs_v1_base_debi | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| cdsmvs_eth3d_5k | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| pcd_1.5k_mvsjas | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| PS-MVSNAJss | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| PS-MVSNAJ | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| jajsoiax | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| mvs_tets | | | 10.28 139 | 10.28 141 | 10.28 146 | 10.28 154 | 10.28 156 | 10.28 154 | 10.28 161 | 10.28 155 | 10.28 154 | 10.28 150 | 10.28 156 | 10.28 154 | 10.28 152 | 10.28 155 | 10.28 154 |
|
| SR-MVS-dyc-post | | | 11.55 149 | 11.55 151 | 11.55 158 | 11.55 165 | 11.55 167 | 11.55 164 | 11.55 173 | 11.55 165 | 11.55 165 | 11.55 160 | 11.55 167 | 11.55 164 | 11.55 162 | 11.55 165 | 11.55 164 |
|
| XXY-MVS | | | 15.00 150 | 15.00 152 | 15.00 159 | 15.00 166 | 15.00 169 | 15.00 165 | 15.00 175 | 15.00 166 | 15.00 167 | 15.00 161 | 15.00 171 | 15.00 166 | 15.00 164 | 15.00 167 | 15.00 166 |
|
| test_method | | | 18.29 151 | 20.89 153 | 10.50 156 | 15.00 166 | 13.00 168 | 55.00 171 | 3.00 147 | 34.00 168 | 11.50 164 | 32.50 162 | 5.00 142 | 13.50 165 | 27.00 166 | 5.00 142 | 5.00 142 |
|
| GeoE | | | 19.41 152 | 22.09 154 | 11.37 157 | 17.21 168 | 11.30 166 | 50.50 170 | 4.30 148 | 33.60 167 | 11.70 166 | 44.50 167 | 7.30 153 | 18.90 167 | 22.60 165 | 7.10 153 | 3.90 140 |
|
| BH-w/o | | | 40.00 153 | 40.00 155 | 40.00 161 | 40.00 169 | 40.00 170 | 40.00 166 | 40.00 194 | 40.00 169 | 40.00 169 | 40.00 163 | 40.00 188 | 40.00 169 | 40.00 167 | 40.00 181 | 40.00 177 |
|
| BH-untuned | | | 40.00 153 | 40.00 155 | 40.00 161 | 40.00 169 | 40.00 170 | 40.00 166 | 40.00 194 | 40.00 169 | 40.00 169 | 40.00 163 | 40.00 188 | 40.00 169 | 40.00 167 | 40.00 181 | 40.00 177 |
|
| BH-RMVSNet | | | 40.00 153 | 40.00 155 | 40.00 161 | 40.00 169 | 40.00 170 | 40.00 166 | 40.00 194 | 40.00 169 | 40.00 169 | 40.00 163 | 40.00 188 | 40.00 169 | 40.00 167 | 40.00 181 | 40.00 177 |
|
| TR-MVS | | | 40.00 153 | 40.00 155 | 40.00 161 | 40.00 169 | 40.00 170 | 40.00 166 | 40.00 194 | 40.00 169 | 40.00 169 | 40.00 163 | 40.00 188 | 40.00 169 | 40.00 167 | 40.00 181 | 40.00 177 |
|
| GBi-Net | | | 44.67 157 | 49.24 159 | 30.96 160 | 47.53 173 | 47.57 174 | 126.09 172 | 8.00 159 | 76.99 173 | 26.09 168 | 73.50 169 | 11.27 166 | 30.55 168 | 61.12 171 | 12.58 166 | 14.75 165 |
|
| dp | | | 87.20 158 | 113.80 162 | 7.42 145 | 10.50 164 | 8.88 153 | 298.82 179 | 2.70 146 | 510.35 198 | 7.79 151 | 172.93 172 | 3.37 141 | 9.16 152 | 14.00 163 | 3.71 141 | 4.23 141 |
|
| new_pmnet | | | 88.14 159 | 98.62 160 | 56.70 165 | 98.14 180 | 56.07 175 | 246.79 174 | 15.37 176 | 148.06 174 | 50.77 173 | 143.13 170 | 23.35 172 | 62.65 173 | 93.26 172 | 68.71 191 | 51.38 187 |
|
| N_pmnet | | | 88.14 159 | 98.62 160 | 56.70 165 | 98.14 180 | 56.07 175 | 246.79 174 | 15.37 176 | 148.06 174 | 50.77 173 | 143.13 170 | 23.35 172 | 62.65 173 | 93.26 172 | 68.71 191 | 51.38 187 |
|
| CANet | | | 110.62 161 | 124.04 163 | 70.34 168 | 82.03 177 | 74.27 180 | 325.54 180 | 25.25 179 | 207.16 176 | 69.28 178 | 194.38 173 | 27.53 174 | 95.79 182 | 147.76 176 | 37.43 171 | 40.97 181 |
|
| CANet_DTU | | | 110.62 161 | 124.04 163 | 70.34 168 | 82.03 177 | 74.27 180 | 325.54 180 | 25.25 179 | 207.16 176 | 69.28 178 | 194.38 173 | 27.53 174 | 95.79 182 | 147.76 176 | 37.43 171 | 40.97 181 |
|
| UGNet | | | 110.62 161 | 124.04 163 | 70.34 168 | 82.03 177 | 74.27 180 | 325.54 180 | 25.25 179 | 207.16 176 | 69.28 178 | 194.38 173 | 27.53 174 | 95.79 182 | 147.76 176 | 37.43 171 | 40.97 181 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| ACMMP_NAP | | | 118.81 164 | 133.18 166 | 75.70 171 | 74.28 175 | 73.29 178 | 284.50 176 | 11.35 171 | 238.58 180 | 65.86 176 | 255.35 188 | 14.55 169 | 115.69 190 | 222.18 190 | 31.94 169 | 38.12 175 |
|
| FMVSNet5 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| test1 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| FMVSNet3 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| FMVSNet2 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| FMVSNet1 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| MIMVSNet1 | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| MIMVSNet | | | 124.76 165 | 140.93 167 | 76.26 173 | 107.44 183 | 100.17 187 | 329.88 183 | 27.12 185 | 259.44 185 | 74.30 181 | 204.34 176 | 30.74 177 | 92.41 175 | 196.98 179 | 38.15 174 | 36.19 168 |
|
| DSMNet-mixed | | | 131.33 172 | 143.00 174 | 96.33 183 | 99.00 182 | 81.00 183 | 201.00 173 | 45.00 199 | 335.00 192 | 99.00 191 | 251.00 187 | 38.00 187 | 110.00 189 | 120.00 175 | 99.00 197 | 98.00 193 |
|
| PVSNet_Blended_VisFu | | | 136.90 173 | 155.40 175 | 81.40 180 | 111.00 190 | 96.20 184 | 407.00 190 | 25.90 182 | 251.60 182 | 85.10 188 | 240.50 184 | 37.00 184 | 99.90 185 | 199.80 186 | 40.70 185 | 48.10 184 |
|
| PVSNet_BlendedMVS | | | 136.90 173 | 155.40 175 | 81.40 180 | 111.00 190 | 96.20 184 | 407.00 190 | 25.90 182 | 251.60 182 | 85.10 188 | 240.50 184 | 37.00 184 | 99.90 185 | 199.80 186 | 40.70 185 | 48.10 184 |
|
| PVSNet_Blended | | | 136.90 173 | 155.40 175 | 81.40 180 | 111.00 190 | 96.20 184 | 407.00 190 | 25.90 182 | 251.60 182 | 85.10 188 | 240.50 184 | 37.00 184 | 99.90 185 | 199.80 186 | 40.70 185 | 48.10 184 |
|
| BP-MVS1 | | | 202.65 176 | 232.15 178 | 114.16 184 | 183.40 194 | 141.78 194 | 655.87 198 | 24.69 178 | 372.56 193 | 109.76 192 | 356.89 190 | 47.15 192 | 139.51 192 | 284.15 192 | 54.86 188 | 61.20 189 |
|
| FE-MVS | | | 207.10 177 | 234.26 179 | 125.61 185 | 180.34 193 | 153.23 195 | 635.64 197 | 30.05 192 | 378.38 194 | 127.68 193 | 377.08 191 | 48.95 193 | 154.43 193 | 266.67 191 | 63.56 189 | 69.18 190 |
|
| GDP-MVS | | | 219.79 178 | 249.11 180 | 131.85 186 | 187.15 195 | 155.97 196 | 667.31 199 | 30.57 193 | 398.95 195 | 131.26 194 | 387.86 192 | 58.83 195 | 164.55 194 | 315.00 193 | 65.03 190 | 75.04 191 |
|
| FA-MVS(test-final) | | | 261.15 179 | 293.29 181 | 164.72 187 | 236.23 198 | 199.99 201 | 800.05 205 | 42.35 198 | 475.87 197 | 155.47 195 | 470.67 194 | 58.49 194 | 205.24 196 | 319.44 194 | 81.03 194 | 88.93 192 |
|
| DP-MVS | | | 264.78 180 | 296.02 182 | 171.04 189 | 191.70 196 | 183.96 198 | 827.10 206 | 78.36 210 | 438.24 196 | 176.64 197 | 435.12 193 | 65.04 197 | 230.52 199 | 334.02 195 | 117.96 205 | 98.64 194 |
|
| kuosan | | | 267.89 181 | 301.05 183 | 168.41 188 | 244.05 199 | 177.28 197 | 667.98 200 | 65.76 201 | 533.41 199 | 157.79 196 | 492.01 195 | 104.69 210 | 226.72 197 | 364.47 197 | 79.31 193 | 101.21 195 |
|
| WB-MVS | | | 316.44 182 | 357.41 184 | 193.51 191 | 257.06 200 | 213.32 204 | 914.45 208 | 49.03 200 | 600.77 205 | 186.42 199 | 634.00 207 | 75.03 200 | 251.35 201 | 411.39 198 | 88.55 195 | 115.87 197 |
|
| SSC-MVS | | | 320.23 183 | 364.09 185 | 188.66 190 | 260.78 201 | 193.84 199 | 975.93 214 | 73.11 206 | 596.72 204 | 185.29 198 | 589.02 201 | 74.47 199 | 246.01 200 | 427.42 201 | 94.06 196 | 126.12 198 |
|
| UWE-MVS-28 | | | 327.73 184 | 369.67 186 | 201.90 192 | 281.09 207 | 210.75 202 | 832.98 207 | 74.67 209 | 680.98 212 | 198.23 200 | 613.42 204 | 112.56 213 | 259.80 202 | 418.76 199 | 114.35 199 | 135.15 204 |
|
| testing91 | | | 347.05 185 | 389.92 187 | 218.43 194 | 275.92 205 | 241.43 206 | 923.71 210 | 71.70 202 | 667.65 210 | 217.04 204 | 629.00 205 | 113.33 214 | 281.39 204 | 495.50 204 | 115.45 201 | 132.47 201 |
|
| testing11 | | | 348.86 186 | 393.09 188 | 216.15 193 | 275.24 204 | 239.53 205 | 915.55 209 | 72.35 203 | 679.89 211 | 215.75 203 | 633.79 206 | 118.08 215 | 276.62 203 | 509.56 212 | 117.61 204 | 132.30 200 |
|
| dongtai | | | 360.45 187 | 401.64 189 | 236.89 197 | 303.10 208 | 262.16 212 | 963.12 211 | 72.78 204 | 622.82 208 | 199.37 201 | 708.06 210 | 130.96 218 | 310.90 207 | 506.46 211 | 108.11 198 | 137.60 205 |
|
| Syy-MVS | | | 370.76 188 | 415.60 191 | 236.25 196 | 310.54 209 | 210.76 203 | 965.13 212 | 98.58 225 | 746.06 217 | 266.26 211 | 788.85 217 | 91.37 204 | 364.76 215 | 357.17 196 | 116.42 202 | 133.22 202 |
|
| tmp_tt | | | 371.08 189 | 412.78 190 | 246.00 200 | 231.00 197 | 197.00 200 | 1293.00 233 | 376.00 274 | 756.00 219 | 609.00 252 | 71.00 168 | 106.00 211 | 195.00 195 | 102.00 174 | 171.00 222 | 346.00 248 |
|
| UWE-MVS | | | 387.98 190 | 438.66 193 | 235.93 195 | 349.32 214 | 257.61 210 | 1081.50 222 | 82.45 214 | 637.74 209 | 257.12 208 | 738.54 212 | 134.25 219 | 308.00 205 | 531.93 214 | 135.11 208 | 142.17 206 |
|
| myMVS_eth3d | | | 390.90 191 | 437.44 192 | 251.28 202 | 310.54 209 | 255.86 209 | 965.13 212 | 98.58 225 | 746.06 217 | 266.26 211 | 788.85 217 | 154.95 226 | 364.76 215 | 490.19 203 | 116.42 202 | 133.22 202 |
|
| RPSCF | | | 394.81 192 | 445.63 194 | 242.35 198 | 276.55 206 | 253.63 208 | 1207.27 230 | 90.69 219 | 715.56 213 | 241.57 207 | 684.87 208 | 111.96 212 | 320.02 209 | 548.38 216 | 133.81 207 | 153.39 210 |
|
| WB-MVSnew | | | 404.84 193 | 458.00 195 | 245.36 199 | 374.70 218 | 320.27 220 | 1193.74 229 | 72.90 205 | 773.77 220 | 238.30 205 | 688.22 209 | 90.05 203 | 308.59 206 | 532.76 215 | 157.54 216 | 107.21 196 |
|
| testing99 | | | 408.82 194 | 462.15 196 | 248.86 201 | 322.45 211 | 269.42 213 | 1118.93 225 | 73.26 207 | 719.36 215 | 262.28 209 | 772.10 214 | 150.98 225 | 327.08 210 | 601.98 220 | 137.99 209 | 150.07 208 |
|
| testing3 | | | 418.10 195 | 469.06 197 | 265.23 205 | 335.69 212 | 290.63 215 | 1240.88 231 | 93.72 220 | 717.99 214 | 215.31 202 | 811.97 223 | 232.41 257 | 358.74 213 | 458.67 202 | 114.88 200 | 146.32 207 |
|
| myMVS_eth3d28 | | | 418.40 196 | 473.07 198 | 254.39 203 | 261.18 202 | 313.04 216 | 1172.79 228 | 74.16 208 | 929.18 228 | 264.68 210 | 745.72 213 | 139.03 223 | 318.91 208 | 549.18 217 | 121.71 206 | 131.21 199 |
|
| testing222 | | | 430.52 197 | 487.50 201 | 259.56 204 | 379.87 222 | 282.69 214 | 1138.34 226 | 81.30 212 | 880.86 224 | 281.58 214 | 834.27 225 | 135.83 221 | 333.22 211 | 514.90 213 | 140.56 210 | 162.76 211 |
|
| EG-PatchMatch MVS | | | 437.03 198 | 493.12 202 | 268.77 206 | 264.80 203 | 260.20 211 | 1491.80 237 | 98.00 224 | 723.20 216 | 238.80 206 | 722.40 211 | 63.10 196 | 382.00 219 | 629.00 224 | 207.00 231 | 164.10 214 |
|
| ADS-MVSNet2 | | | 443.33 199 | 482.84 199 | 324.79 218 | 434.94 231 | 387.73 229 | 1110.57 223 | 87.69 216 | 887.02 225 | 282.92 215 | 779.29 215 | 98.57 208 | 422.76 227 | 502.40 205 | 162.19 220 | 163.87 212 |
|
| ADS-MVSNet | | | 443.33 199 | 482.84 199 | 324.79 218 | 434.94 231 | 387.73 229 | 1110.57 223 | 87.69 216 | 887.02 225 | 282.92 215 | 779.29 215 | 98.57 208 | 422.76 227 | 502.40 205 | 162.19 220 | 163.87 212 |
|
| ETVMVS | | | 443.50 201 | 498.07 203 | 279.78 207 | 378.05 221 | 321.57 221 | 1163.68 227 | 87.12 215 | 897.50 227 | 269.81 213 | 822.83 224 | 141.20 224 | 334.53 212 | 568.21 219 | 154.21 211 | 183.26 218 |
|
| MVP-Stereo | | | 473.58 202 | 533.67 204 | 293.33 209 | 376.00 219 | 318.00 217 | 1461.00 235 | 96.00 221 | 835.00 222 | 290.00 218 | 804.00 220 | 97.00 206 | 383.00 221 | 688.00 232 | 156.00 213 | 179.00 216 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 202 | 533.67 204 | 293.33 209 | 376.00 219 | 318.00 217 | 1461.00 235 | 96.00 221 | 835.00 222 | 290.00 218 | 804.00 220 | 97.00 206 | 383.00 221 | 688.00 232 | 156.00 213 | 179.00 216 |
|
| testing3-2 | | | 489.51 204 | 555.88 207 | 290.42 208 | 362.21 216 | 319.27 219 | 1424.84 234 | 88.81 218 | 964.80 229 | 309.62 221 | 879.13 227 | 174.38 233 | 363.98 214 | 643.82 228 | 155.29 212 | 188.01 219 |
|
| PatchmatchNet |  | | 492.52 205 | 551.22 206 | 316.40 216 | 400.20 227 | 357.90 227 | 1277.10 232 | 115.80 232 | 1034.60 238 | 315.90 222 | 874.00 226 | 155.10 227 | 402.20 224 | 629.50 225 | 158.80 217 | 189.10 220 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| tpmvs | | | 501.65 206 | 567.42 208 | 304.33 212 | 395.39 226 | 356.32 226 | 1512.04 238 | 216.53 261 | 994.15 231 | 350.16 227 | 804.16 222 | 119.38 216 | 380.98 218 | 555.14 218 | 159.87 218 | 175.69 215 |
|
| DELS-MVS | | | 514.57 207 | 587.73 210 | 295.12 211 | 343.03 213 | 328.09 224 | 1540.48 239 | 116.22 233 | 988.59 230 | 325.44 225 | 906.22 228 | 119.86 217 | 365.72 217 | 788.60 236 | 161.09 219 | 191.55 222 |
| Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
| DP-MVS Recon | | | 516.25 208 | 581.17 209 | 321.48 217 | 361.02 215 | 429.00 233 | 1995.36 245 | 78.48 211 | 796.20 221 | 283.32 217 | 796.02 219 | 96.78 205 | 382.98 220 | 636.72 226 | 186.66 228 | 152.46 209 |
|
| gg-mvs-nofinetune | | | 594.69 209 | 605.37 211 | 562.67 239 | 617.29 247 | 500.33 237 | 772.30 201 | 413.12 282 | 579.21 200 | 552.71 246 | 567.40 196 | 662.54 301 | 531.67 231 | 503.93 207 | 779.80 279 | 656.02 263 |
|
| SR-MVS | | | 610.10 210 | 610.10 212 | 610.10 244 | 610.10 241 | 610.10 254 | 610.10 195 | 610.10 306 | 610.10 206 | 610.10 253 | 610.10 202 | 610.10 289 | 610.10 247 | 610.10 221 | 610.10 262 | 610.10 260 |
|
| CR-MVSNet | | | 612.36 211 | 617.81 214 | 596.01 242 | 611.29 243 | 600.33 251 | 790.30 202 | 513.12 297 | 579.21 200 | 552.71 246 | 567.40 196 | 662.54 301 | 531.67 231 | 503.93 207 | 779.80 279 | 656.02 263 |
|
| IterMVS | | | 615.05 212 | 691.66 215 | 385.23 222 | 516.40 234 | 454.80 234 | 1863.80 243 | 102.10 229 | 1142.20 240 | 364.10 228 | 1093.20 242 | 135.00 220 | 480.40 230 | 826.90 237 | 181.20 225 | 220.50 226 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IB-MVS | | 872.44 4 | 616.41 213 | 700.96 216 | 362.78 220 | 426.10 230 | 409.25 231 | 1822.69 242 | 124.42 244 | 1186.23 241 | 366.85 229 | 1079.42 240 | 190.60 245 | 451.78 229 | 930.72 241 | 181.59 226 | 227.30 227 |
| Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
| WBMVS | | | 655.88 214 | 770.84 219 | 310.98 215 | 391.79 225 | 353.00 225 | 2280.68 247 | 99.17 228 | 1776.79 261 | 301.20 220 | 1123.23 243 | 187.34 243 | 390.28 223 | 620.39 223 | 156.98 215 | 189.66 221 |
|
| ACMH+ | | 729.97 2 | 661.38 215 | 754.00 217 | 383.51 221 | 368.96 217 | 376.38 228 | 2483.74 259 | 82.42 213 | 1089.25 239 | 333.39 226 | 1219.68 244 | 66.53 198 | 573.60 244 | 957.86 242 | 184.14 227 | 200.56 225 |
|
| SSC-MVS3.2 | | | 667.82 216 | 787.71 220 | 308.16 213 | 385.94 223 | 327.65 222 | 1718.51 240 | 117.00 234 | 1942.46 266 | 317.12 223 | 1488.73 257 | 183.89 234 | 404.82 225 | 763.70 234 | 172.02 223 | 192.01 223 |
|
| UBG | | | 667.82 216 | 787.71 220 | 308.16 213 | 385.94 223 | 327.65 222 | 1718.51 240 | 117.00 234 | 1942.46 266 | 317.12 223 | 1488.73 257 | 183.89 234 | 404.82 225 | 763.70 234 | 172.02 223 | 192.01 223 |
|
| Gipuma |  | | 689.75 218 | 767.00 218 | 458.00 231 | 613.00 246 | 549.00 249 | 1943.00 244 | 187.00 258 | 1230.00 242 | 518.00 243 | 1092.00 241 | 203.00 251 | 564.00 236 | 892.00 240 | 225.00 241 | 261.00 235 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| IterMVS-LS | | | 758.94 219 | 856.56 224 | 466.10 232 | 606.60 239 | 546.80 247 | 2309.90 248 | 122.20 243 | 1402.80 246 | 463.50 233 | 1348.20 246 | 192.60 246 | 574.60 245 | 1028.60 252 | 234.60 243 | 276.90 237 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| new-patchmatchnet | | | 766.12 220 | 859.03 225 | 487.38 235 | 595.68 236 | 536.14 239 | 2346.27 249 | 142.51 249 | 1488.08 248 | 422.43 230 | 1361.32 248 | 163.65 230 | 628.60 249 | 1003.74 251 | 207.61 232 | 297.41 241 |
|
| SixPastTwentyTwo | | | 773.62 221 | 869.37 227 | 486.35 234 | 603.45 238 | 547.15 248 | 2532.14 260 | 106.92 231 | 1434.95 247 | 428.08 231 | 1360.56 247 | 165.15 231 | 628.96 250 | 984.09 243 | 209.01 233 | 282.94 238 |
|
| mvs_anonymous | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
|
| casdiffmvs | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
| 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 | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
| 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 | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
|
| baseline1 | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
|
| casdiffmvs_mvg | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
| 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 | | | 774.90 222 | 882.28 228 | 452.77 224 | 636.50 248 | 537.20 240 | 2348.80 250 | 120.30 236 | 1504.30 249 | 474.40 234 | 1371.10 249 | 186.90 236 | 564.70 237 | 1078.90 254 | 219.30 234 | 256.40 228 |
|
| RPMNet | | | 787.26 229 | 829.13 222 | 661.63 248 | 885.90 263 | 895.90 271 | 455.98 193 | 610.10 306 | 1297.17 243 | 1002.26 275 | 1001.67 238 | 655.98 299 | 611.10 248 | 667.90 229 | 885.21 291 | 477.90 257 |
|
| JIA-IIPM | | | 804.30 230 | 835.64 223 | 710.26 253 | 885.90 263 | 895.90 271 | 455.98 193 | 668.73 311 | 1297.17 243 | 1002.26 275 | 1001.67 238 | 655.98 299 | 756.98 254 | 667.90 229 | 885.21 291 | 477.90 257 |
|
| CSCG | | | 826.03 231 | 963.29 236 | 414.24 223 | 421.52 229 | 426.11 232 | 2230.35 246 | 179.52 257 | 1827.44 262 | 733.43 263 | 933.12 230 | 281.25 259 | 545.23 235 | 1800.35 271 | 262.64 245 | 271.38 236 |
|
| PVSNet | | 1207.94 6 | 829.56 232 | 937.18 235 | 506.69 236 | 645.55 255 | 585.72 250 | 2477.98 258 | 130.52 245 | 1578.29 257 | 509.50 242 | 1460.01 256 | 194.90 247 | 637.19 251 | 1170.78 262 | 267.07 247 | 297.17 240 |
|
| PatchT | | | 856.34 233 | 860.99 226 | 842.38 258 | 1290.90 278 | 880.90 269 | 790.30 202 | 1267.30 329 | 579.21 200 | 923.90 265 | 567.40 196 | 662.54 301 | 990.23 262 | 887.56 239 | 779.80 279 | 656.02 263 |
|
| K. test v3 | | | 877.74 234 | 980.16 237 | 570.46 241 | 1316.85 280 | 813.15 266 | 2565.52 261 | 103.78 230 | 1509.49 256 | 548.33 245 | 1258.90 245 | 219.93 256 | 587.82 246 | 1102.37 261 | 196.30 229 | 310.42 243 |
|
| MVSTER | | | 890.06 235 | 1005.91 244 | 542.52 237 | 736.13 260 | 653.90 258 | 2616.56 262 | 145.22 251 | 1692.10 260 | 555.69 249 | 1554.72 260 | 266.25 258 | 660.02 252 | 1219.66 263 | 266.84 246 | 313.64 244 |
|
| PMVS | | 863.65 3 | 957.08 236 | 1054.11 245 | 666.00 250 | 401.00 228 | 495.00 236 | 3790.00 267 | 279.00 263 | 1607.00 259 | 521.00 244 | 1745.00 262 | 90.00 201 | 1105.00 273 | 639.00 227 | 415.00 258 | 398.00 255 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| ACMH | | 993.80 5 | 967.92 237 | 1106.11 247 | 553.33 238 | 494.00 233 | 534.00 238 | 3581.00 265 | 136.00 246 | 1585.00 258 | 478.00 241 | 1871.00 264 | 90.00 201 | 839.00 256 | 1460.00 265 | 260.00 244 | 287.00 239 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| PVSNet_0 | | 1661.03 9 | 968.54 238 | 1066.82 246 | 673.70 251 | 706.94 258 | 695.69 259 | 2669.02 263 | 153.52 253 | 2108.17 269 | 605.54 251 | 1679.14 261 | 213.26 255 | 886.75 259 | 1236.76 264 | 229.01 242 | 438.67 256 |
|
| OurMVSNet-221017-0 | | | 999.00 239 | 999.00 238 | 999.00 259 | 999.00 268 | 999.00 273 | 999.00 215 | 999.00 322 | 999.00 232 | 999.00 268 | 999.00 231 | 999.00 314 | 999.00 264 | 999.00 244 | 999.00 298 | 999.00 295 |
|
| EPMVS | | | 999.00 239 | 999.00 238 | 999.00 259 | 999.00 268 | 999.00 273 | 999.00 215 | 999.00 322 | 999.00 232 | 999.00 268 | 999.00 231 | 999.00 314 | 999.00 264 | 999.00 244 | 999.00 298 | 999.00 295 |
|
| uanet_test | | | 1000.00 241 | 1000.00 240 | 1000.00 262 | 1000.00 271 | 1000.00 276 | 1000.00 218 | 1000.00 325 | 1000.00 234 | 1000.00 271 | 1000.00 234 | 1000.00 317 | 1000.00 267 | 1000.00 247 | 1000.00 301 | 1000.00 298 |
|
| sosnet | | | 1000.00 241 | 1000.00 240 | 1000.00 262 | 1000.00 271 | 1000.00 276 | 1000.00 218 | 1000.00 325 | 1000.00 234 | 1000.00 271 | 1000.00 234 | 1000.00 317 | 1000.00 267 | 1000.00 247 | 1000.00 301 | 1000.00 298 |
|
| USDC | | | 1000.00 241 | 1000.00 240 | 1000.00 262 | 1000.00 271 | 1000.00 276 | 1000.00 218 | 1000.00 325 | 1000.00 234 | 1000.00 271 | 1000.00 234 | 1000.00 317 | 1000.00 267 | 1000.00 247 | 1000.00 301 | 1000.00 298 |
|
| TinyColmap | | | 1000.00 241 | 1000.00 240 | 1000.00 262 | 1000.00 271 | 1000.00 276 | 1000.00 218 | 1000.00 325 | 1000.00 234 | 1000.00 271 | 1000.00 234 | 1000.00 317 | 1000.00 267 | 1000.00 247 | 1000.00 301 | 1000.00 298 |
|
| ACMP | | 1246.57 7 | 1086.24 245 | 1235.17 249 | 639.45 245 | 596.53 237 | 639.91 256 | 3904.24 268 | 152.04 252 | 1851.54 263 | 566.58 250 | 1997.95 266 | 138.50 222 | 938.30 260 | 1605.46 267 | 303.70 253 | 340.14 246 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| Patchmtry | | | 1090.75 246 | 1198.88 248 | 766.38 257 | 1290.90 278 | 485.90 235 | 2423.98 257 | 1267.30 329 | 1297.17 243 | 923.90 265 | 923.40 229 | 1215.54 322 | 990.23 262 | 667.90 229 | 779.80 279 | 823.02 277 |
|
| test_0402 | | | 1110.00 247 | 1260.00 250 | 660.00 247 | 900.00 266 | 780.00 265 | 3300.00 264 | 210.00 260 | 2040.00 268 | 690.00 258 | 1950.00 265 | 300.00 262 | 810.00 255 | 1620.00 268 | 330.00 254 | 390.00 254 |
|
| MVS_111021_LR | | | 1136.45 248 | 1298.72 251 | 649.64 246 | 756.17 261 | 726.26 262 | 3785.94 266 | 138.15 248 | 2190.64 270 | 629.63 256 | 2064.39 267 | 165.45 232 | 874.83 258 | 1678.43 270 | 279.70 248 | 347.82 249 |
|
| ACMM | | 1311.08 8 | 1165.06 249 | 1332.72 252 | 662.07 249 | 584.90 235 | 715.99 261 | 4373.59 272 | 153.99 254 | 1880.27 264 | 709.02 260 | 2316.97 268 | 188.63 244 | 939.89 261 | 1484.30 266 | 302.78 252 | 330.34 245 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| MSLP-MVS++ | | | 1242.93 250 | 1411.08 253 | 738.48 255 | 712.71 259 | 712.68 260 | 4168.17 270 | 136.50 247 | 2276.40 271 | 613.28 255 | 2368.60 271 | 161.61 229 | 1130.38 274 | 1964.54 274 | 297.88 250 | 372.39 251 |
|
| MG-MVS | | | 1256.50 251 | 1432.00 254 | 730.00 254 | 610.00 240 | 760.00 263 | 4720.00 273 | 169.00 255 | 1920.00 265 | 723.00 262 | 2510.00 274 | 201.00 249 | 1050.00 271 | 1645.00 269 | 390.00 257 | 380.00 252 |
|
| ACMMPR | | | 1296.60 252 | 1480.82 255 | 743.96 256 | 899.25 265 | 763.47 264 | 4305.47 271 | 143.90 250 | 2530.94 274 | 683.99 257 | 2346.34 270 | 201.65 250 | 1098.25 272 | 1920.59 273 | 295.21 249 | 370.16 250 |
|
| TSAR-MVS + GP. | | | 1386.84 253 | 1622.84 257 | 678.81 252 | 952.13 267 | 840.17 268 | 5358.21 276 | 170.75 256 | 2650.47 275 | 713.54 261 | 2394.28 272 | 209.42 254 | 855.56 257 | 1854.36 272 | 302.42 251 | 340.71 247 |
|
| FPMVS | | | 1407.00 254 | 1495.59 256 | 1141.23 267 | 648.01 256 | 893.85 270 | 4124.00 269 | 503.81 296 | 3219.04 277 | 742.72 264 | 2498.84 273 | 157.98 228 | 1727.83 280 | 832.93 238 | 732.98 278 | 802.00 272 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 255 | 1886.82 259 | 481.89 233 | 847.73 262 | 830.16 267 | 7943.84 292 | 189.23 259 | 2398.83 272 | 691.73 259 | 2341.13 269 | 209.16 253 | 230.25 198 | 1999.25 275 | 360.46 255 | 385.25 253 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| COLMAP_ROB | | 2144.59 11 | 1658.33 256 | 1869.33 258 | 1025.33 266 | 1030.00 275 | 1023.00 280 | 5311.00 275 | 359.00 272 | 3044.00 276 | 937.00 267 | 2892.00 275 | 332.00 266 | 1440.00 277 | 2312.00 277 | 607.00 261 | 613.00 262 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| F-COLMAP | | | 1878.17 257 | 2113.11 260 | 1173.33 270 | 1231.00 276 | 1174.00 281 | 6297.00 278 | 392.00 277 | 3356.00 279 | 1087.00 277 | 3082.00 276 | 361.00 270 | 1670.00 279 | 2523.00 279 | 689.00 268 | 676.00 267 |
|
| OpenMVS_ROB | | 1936.51 10 | 1959.51 258 | 2224.88 262 | 1163.39 269 | 1253.91 277 | 1434.22 284 | 7065.71 282 | 272.76 262 | 2472.29 273 | 1647.54 307 | 3538.72 279 | 200.37 248 | 1496.48 278 | 2575.17 280 | 997.45 297 | 559.48 259 |
|
| CMPMVS |  | 2623.62 15 | 1983.08 259 | 2156.14 261 | 1463.89 280 | 1414.80 282 | 1517.00 286 | 5239.20 274 | 867.40 316 | 3310.30 278 | 1128.70 279 | 3489.90 278 | 366.75 271 | 2030.20 291 | 2427.60 278 | 1160.60 310 | 844.46 280 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| MVS-HIRNet | | | 2125.39 260 | 2452.68 263 | 1143.53 268 | 2938.33 323 | 1446.92 285 | 6083.19 277 | 391.74 276 | 3801.71 282 | 1202.10 281 | 3439.72 277 | 492.73 280 | 1304.35 276 | 3048.25 284 | 676.32 267 | 679.32 268 |
|
| PLC | | 2858.82 16 | 2192.92 261 | 2474.00 264 | 1349.67 272 | 1407.00 281 | 1356.00 283 | 7164.00 283 | 475.00 289 | 3970.00 283 | 1237.00 284 | 3765.00 282 | 451.00 277 | 1891.00 285 | 3006.00 283 | 791.00 284 | 802.00 272 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| OpenMVS | | 2352.88 13 | 2263.08 262 | 2530.89 265 | 1459.67 279 | 1767.00 293 | 1591.00 289 | 7932.00 291 | 399.00 278 | 3643.00 280 | 1176.00 280 | 3569.00 280 | 297.00 261 | 1927.00 287 | 3302.00 285 | 693.00 273 | 861.00 281 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 263 | 2597.03 266 | 1297.84 271 | 1701.20 285 | 1332.37 282 | 8105.11 293 | 451.45 285 | 4031.84 284 | 1099.10 278 | 3966.50 283 | 467.45 278 | 1734.05 281 | 2701.68 282 | 848.94 288 | 827.11 278 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 264 | 2643.03 267 | 1434.14 273 | 2025.55 302 | 1629.36 293 | 6542.40 279 | 412.49 279 | 4219.70 286 | 1547.02 295 | 4328.52 285 | 650.74 296 | 1798.26 282 | 3333.17 286 | 727.72 275 | 874.79 282 |
|
| CHOSEN 1792x2688 | | | 2340.81 264 | 2643.03 267 | 1434.14 273 | 2025.55 302 | 1629.36 293 | 6542.40 279 | 412.49 279 | 4219.70 286 | 1547.02 295 | 4328.52 285 | 650.74 296 | 1798.26 282 | 3333.17 286 | 727.72 275 | 874.79 282 |
|
| HyFIR lowres test | | | 2340.81 264 | 2643.03 267 | 1434.14 273 | 2025.55 302 | 1629.36 293 | 6542.40 279 | 412.49 279 | 4219.70 286 | 1547.02 295 | 4328.52 285 | 650.74 296 | 1798.26 282 | 3333.17 286 | 727.72 275 | 874.79 282 |
|
| 3Dnovator | | 2482.06 14 | 2531.17 267 | 2839.56 270 | 1606.00 281 | 1732.00 289 | 1557.00 288 | 8375.00 295 | 483.00 290 | 4370.00 289 | 1371.00 290 | 4200.00 284 | 350.00 268 | 2207.00 292 | 3877.00 292 | 798.00 285 | 1054.00 302 |
|
| tpmrst | | | 2557.50 268 | 2847.12 271 | 1688.66 284 | 1784.08 294 | 1778.25 303 | 7445.50 289 | 342.14 269 | 4471.54 290 | 1534.55 294 | 4382.10 288 | 530.10 284 | 2361.21 295 | 4142.81 296 | 991.22 296 | 926.51 287 |
|
| AdaColmap | | | 2570.77 269 | 2948.61 272 | 1437.24 276 | 1873.64 295 | 1526.60 287 | 7819.77 290 | 373.97 273 | 4970.45 293 | 1479.29 292 | 4648.46 290 | 525.80 283 | 1904.97 286 | 4150.42 297 | 695.69 274 | 880.14 285 |
|
| SD-MVS | | | 2654.53 270 | 3055.56 275 | 1451.45 277 | 1725.60 286 | 1598.35 290 | 9203.30 299 | 315.86 266 | 5016.02 295 | 1363.85 287 | 4894.28 293 | 387.23 272 | 2023.43 288 | 3973.88 293 | 620.04 264 | 732.56 269 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| DeepPCF-MVS | | 3452.42 18 | 2670.71 271 | 3021.57 273 | 1618.12 282 | 2377.67 309 | 1751.39 302 | 8915.70 298 | 567.44 304 | 4569.74 291 | 1236.84 283 | 4615.63 289 | 513.23 281 | 2291.32 293 | 3515.48 289 | 882.39 290 | 811.66 274 |
|
| LF4IMVS | | | 2699.50 272 | 3049.67 274 | 1649.00 283 | 1755.00 290 | 1689.00 297 | 8330.00 294 | 464.00 287 | 4997.00 294 | 1528.00 293 | 4763.00 292 | 568.00 287 | 2296.00 294 | 4215.00 298 | 827.00 287 | 962.00 292 |
|
| EGC-MVSNET | | | 2819.75 273 | 3096.89 276 | 1988.33 294 | 3105.00 324 | 2241.00 314 | 9480.00 303 | 640.00 310 | 4209.00 285 | 1583.00 300 | 4740.00 291 | 547.00 286 | 2797.00 307 | 2644.00 281 | 924.00 294 | 927.00 288 |
|
| Vis-MVSNet | | | 2877.42 274 | 3170.00 277 | 1999.67 295 | 1673.00 284 | 2042.00 312 | 8593.00 296 | 474.00 288 | 6452.00 308 | 1268.00 285 | 5125.00 296 | 339.00 267 | 3004.00 309 | 4222.00 299 | 384.00 256 | 953.00 291 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| SteuartSystems-ACMMP | | | 2891.50 275 | 3284.78 278 | 1711.67 285 | 1954.00 296 | 1655.00 296 | 10117.00 312 | 445.00 284 | 5102.00 298 | 1375.00 291 | 5126.00 297 | 351.00 269 | 2638.00 305 | 4402.00 300 | 691.00 271 | 842.00 279 |
| Skip Steuart: Steuart Systems R&D Blog. |
| 3Dnovator+ | | 3414.41 17 | 3146.67 276 | 3537.00 279 | 1975.67 292 | 2310.00 307 | 2005.00 311 | 10100.00 311 | 626.00 309 | 5753.00 299 | 1803.00 310 | 5179.00 298 | 487.00 279 | 2622.00 303 | 4550.00 301 | 1025.00 305 | 1300.00 309 |
|
| DeepC-MVS | | 3917.13 19 | 3155.06 277 | 3601.83 280 | 1814.72 290 | 2515.52 312 | 1941.53 307 | 10432.50 313 | 589.42 305 | 4789.45 292 | 1298.65 286 | 7677.31 314 | 578.35 288 | 2589.53 299 | 3611.78 291 | 923.52 293 | 913.10 286 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DPM-MVS | | | 3268.00 278 | 3762.89 281 | 1783.33 288 | 1756.00 291 | 1806.00 304 | 12319.00 315 | 307.00 264 | 6319.00 306 | 1557.00 298 | 5763.00 299 | 302.00 263 | 2609.00 301 | 5061.00 304 | 482.00 259 | 935.00 289 |
|
| OPM-MVS | | | 3268.00 278 | 3762.89 281 | 1783.33 288 | 1756.00 291 | 1806.00 304 | 12319.00 315 | 307.00 264 | 6319.00 306 | 1557.00 298 | 5763.00 299 | 302.00 263 | 2609.00 301 | 5061.00 304 | 482.00 259 | 935.00 289 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| TAPA-MVS | | 6309.84 21 | 3374.90 280 | 3806.99 283 | 2078.63 297 | 2535.47 313 | 2499.25 322 | 8816.16 297 | 456.05 286 | 6255.60 305 | 1664.52 308 | 6704.88 304 | 629.95 294 | 2768.38 306 | 6343.93 318 | 856.35 289 | 968.25 293 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| TSAR-MVS + MP. | | | 3528.01 281 | 4065.89 288 | 1914.35 291 | 2349.10 308 | 2141.30 313 | 12362.70 317 | 417.60 283 | 6717.80 312 | 1759.40 309 | 6497.50 302 | 518.18 282 | 2629.38 304 | 5164.32 306 | 806.40 286 | 972.38 294 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| tpm2 | | | 3617.85 282 | 4007.23 284 | 2449.73 302 | 2012.71 298 | 1698.05 298 | 7351.19 285 | 869.29 317 | 6132.06 301 | 1588.28 301 | 8007.42 317 | 1281.09 323 | 3888.11 321 | 7472.04 322 | 1351.00 312 | 1763.02 318 |
|
| tpm cat1 | | | 3617.85 282 | 4007.23 284 | 2449.73 302 | 2012.71 298 | 1698.05 298 | 7351.19 285 | 869.29 317 | 6132.06 301 | 1588.28 301 | 8007.42 317 | 1281.09 323 | 3888.11 321 | 7472.04 322 | 1351.00 312 | 1763.02 318 |
|
| CostFormer | | | 3617.85 282 | 4007.23 284 | 2449.73 302 | 2012.71 298 | 1698.05 298 | 7351.19 285 | 869.29 317 | 6132.06 301 | 1588.28 301 | 8007.42 317 | 1281.09 323 | 3888.11 321 | 7472.04 322 | 1351.00 312 | 1763.02 318 |
|
| tpm | | | 3617.85 282 | 4007.23 284 | 2449.73 302 | 2012.71 298 | 1698.05 298 | 7351.19 285 | 869.29 317 | 6132.06 301 | 1588.28 301 | 8007.42 317 | 1281.09 323 | 3888.11 321 | 7472.04 322 | 1351.00 312 | 1763.02 318 |
|
| MVS_111021_HR | | | 3742.80 286 | 4330.34 289 | 1980.20 293 | 2484.31 311 | 2259.52 315 | 14973.80 322 | 515.90 303 | 6500.13 309 | 1949.21 312 | 6146.89 301 | 535.66 285 | 2593.66 300 | 4880.76 303 | 986.37 295 | 1087.43 303 |
|
| MAR-MVS | | | 3973.16 287 | 4387.92 290 | 2728.86 308 | 3345.27 325 | 3341.39 329 | 11403.90 314 | 798.76 314 | 6555.62 311 | 2569.29 322 | 6514.86 303 | 834.97 308 | 3237.43 318 | 5891.08 309 | 1577.54 317 | 1607.76 310 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| DVP-MVS++ | | | 3981.10 288 | 4731.32 293 | 1730.42 286 | 2191.51 305 | 1949.98 308 | 16473.90 324 | 355.33 270 | 7172.90 317 | 1622.98 305 | 7879.79 315 | 434.33 275 | 2428.11 297 | 5762.12 307 | 689.04 269 | 813.18 275 |
|
| DVP-MVS | | | 3981.10 288 | 4731.32 293 | 1730.42 286 | 2191.51 305 | 1949.98 308 | 16473.90 324 | 355.33 270 | 7172.90 317 | 1622.98 305 | 7879.79 315 | 434.33 275 | 2428.11 297 | 5762.12 307 | 689.04 269 | 813.18 275 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| GST-MVS | | | 4000.00 290 | 4533.33 291 | 2400.00 301 | 2400.00 310 | 2400.00 316 | 7200.00 284 | 2400.00 333 | 7200.00 319 | 2400.00 321 | 7200.00 309 | 2400.00 327 | 2400.00 296 | 7200.00 320 | 2400.00 324 | 2400.00 323 |
|
| SED-MVS | | | 4062.74 291 | 4671.13 292 | 2237.56 298 | 2643.17 314 | 2465.14 317 | 13996.40 319 | 493.26 291 | 7619.38 320 | 2107.24 313 | 7416.93 311 | 610.24 291 | 3088.29 314 | 6075.14 314 | 1078.39 306 | 1159.26 304 |
|
| MSP-MVS | | | 4296.20 292 | 4911.12 296 | 2451.45 306 | 2725.60 319 | 2598.35 323 | 16203.30 323 | 515.86 299 | 7016.02 313 | 2363.85 317 | 6894.28 305 | 887.23 309 | 3023.43 310 | 5973.88 310 | 1620.04 318 | 1732.56 314 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| API-MVS | | | 4380.83 293 | 4906.56 295 | 2803.67 309 | 3844.00 326 | 3116.00 328 | 13454.00 318 | 901.00 321 | 6511.00 310 | 2794.00 323 | 7365.00 310 | 754.00 305 | 3634.00 319 | 6622.00 319 | 1914.00 323 | 1661.00 313 |
|
| OMC-MVS | | | 5022.26 294 | 5748.82 297 | 2842.58 310 | 4905.27 328 | 3101.27 327 | 14933.60 321 | 812.24 315 | 9278.40 324 | 2959.29 324 | 8800.17 321 | 1092.24 321 | 3806.30 320 | 7568.54 326 | 1389.60 316 | 1620.18 312 |
|
| CLD-MVS | | | 7338.25 295 | 8341.00 298 | 4330.00 311 | 4902.00 327 | 4991.00 330 | 23318.00 327 | 728.00 313 | 14437.00 334 | 4378.00 326 | 13379.00 329 | 824.00 307 | 5708.00 325 | 11429.00 335 | 1674.00 322 | 2291.00 322 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 296 | 8776.23 299 | 4410.16 312 | 5298.55 329 | 5631.53 331 | 34329.90 329 | 1504.57 331 | 11554.00 333 | 3896.41 325 | 15111.00 330 | 812.19 306 | 5985.63 326 | 3516.20 290 | 2963.23 325 | 1613.31 311 |
|
| ZNCC-MVS | | | 9999.00 297 | 9999.00 300 | 9999.00 314 | 9999.00 332 | 9999.00 334 | 9999.00 304 | 9999.00 337 | 9999.00 325 | 9999.00 329 | 9999.00 322 | 9999.00 330 | 9999.00 327 | 9999.00 327 | 9999.00 328 | 9999.00 326 |
|
| patch_mono-2 | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| dcpmvs_2 | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| DCPMVS | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| UA-Net | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| uncertanet | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| uanet | | | 10000.00 298 | 10000.00 301 | 10000.00 315 | 10000.00 333 | 10000.00 335 | 10000.00 305 | 10000.00 338 | 10000.00 326 | 10000.00 330 | 10000.00 323 | 10000.00 331 | 10000.00 328 | 10000.00 328 | 10000.00 329 | 10000.00 327 |
|
| MVE | | 10021.00 22 | 10550.67 304 | 10002.44 307 | 12195.33 321 | 6242.00 330 | 8768.00 333 | 30896.00 328 | 4451.00 334 | 10331.00 332 | 6247.00 327 | 18296.00 331 | 283.00 260 | 21484.00 335 | 7364.00 321 | 5912.00 327 | 6334.00 325 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CNLPA | | | 10738.67 305 | 11772.44 308 | 7637.33 313 | 9120.00 331 | 8206.00 332 | 22252.00 326 | 2010.00 332 | 24984.00 335 | 7458.00 328 | 22596.00 332 | 2940.00 328 | 10260.00 334 | 11100.00 334 | 3492.00 326 | 4446.00 324 |
|
| LTVRE_ROB | | 20565.47 23 | 23378.08 306 | 22805.00 309 | 25097.33 322 | 15500.00 339 | 19201.00 341 | 42712.00 330 | 6055.00 335 | 38388.00 336 | 16926.00 336 | 38534.00 333 | 7071.00 329 | 35653.00 336 | 29475.00 336 | 10584.00 335 | 20438.00 334 |
| 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 | | | 32606.17 307 | 34443.44 310 | 27094.33 323 | 29249.00 340 | 25246.00 342 | 51144.00 331 | 6705.00 336 | 42886.00 337 | 22888.00 337 | 48534.00 334 | 13263.00 337 | 37507.00 337 | 79298.00 337 | 16024.00 336 | 18530.00 333 |
|
| 114514_t | | | 99999.00 308 | 99999.00 311 | 99999.00 324 | 99999.00 341 | 99999.00 343 | 99999.00 332 | 99999.00 344 | 99999.00 338 | 99999.00 338 | 99999.00 335 | 99999.00 338 | 99999.00 338 | 99999.00 338 | 99999.00 337 | 99999.00 335 |
|
| PHI-MVS | | | 99999.00 308 | 99999.00 311 | 99999.00 324 | 99999.00 341 | 99999.00 343 | 99999.00 332 | 99999.00 344 | 99999.00 338 | 99999.00 338 | 99999.00 335 | 99999.00 338 | 99999.00 338 | 99999.00 338 | 99999.00 337 | 99999.00 335 |
|
| MP-MVS-pluss | | | 833433.63 310 | 1111219.60 316 | 75.70 171 | 74.28 175 | 73.29 178 | 284.50 176 | 11.35 171 | 238.58 180 | 65.86 176 | 255.35 188 | 14.55 169 | 115.69 190 | 10000000.00 343 | 31.94 169 | 38.12 175 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MTAPA | | | 833442.10 311 | 1111233.77 317 | 67.09 167 | 65.59 174 | 64.81 177 | 284.50 176 | 10000000.00 349 | 219.97 179 | 59.62 175 | 229.89 183 | 12.72 168 | 103.00 188 | 203.67 189 | 27.93 168 | 33.46 167 |
|
| XVG-OURS-SEG-HR | | | 999999.00 312 | 999999.00 313 | 999999.00 326 | 999999.00 343 | 999999.00 345 | 999999.00 334 | 999999.00 346 | 999999.00 340 | 999999.00 340 | 999999.00 337 | 999999.00 340 | 999999.00 340 | 999999.00 340 | 999999.00 339 | 999999.00 337 |
|
| XVG-OURS | | | 999999.00 312 | 999999.00 313 | 999999.00 326 | 999999.00 343 | 999999.00 345 | 999999.00 334 | 999999.00 346 | 999999.00 340 | 999999.00 340 | 999999.00 337 | 999999.00 340 | 999999.00 340 | 999999.00 340 | 999999.00 339 | 999999.00 337 |
|
| XVG-ACMP-BASELINE | | | 999999.00 312 | 999999.00 313 | 999999.00 326 | 999999.00 343 | 999999.00 345 | 999999.00 334 | 999999.00 346 | 999999.00 340 | 999999.00 340 | 999999.00 337 | 999999.00 340 | 999999.00 340 | 999999.00 340 | 999999.00 339 | 999999.00 337 |
|
| mamba_0408 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| icg_test_0407_2 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SSM_04072 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SSM_0407 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| IMVS_0407 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| IMVS_0404 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SSM_0404 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| IMVS_0403 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SD_0403 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| NormalMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| lecture | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SymmetryMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Elysia | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| StellarMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| KinetiMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| LuminaMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| VortexMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| AstraMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| guyue | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| sc_t1 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tt0320-xc | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tt0320 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MVSMamba_PlusPlus | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MGCFI-Net | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| sasdasda | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| dmvs_re | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SDMVSNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| dmvs_testset | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| sd_testset | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| balanced_conf03 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MonoMVSNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test2506 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test1111 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| ECVR-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test_blank | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tt0805 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Anonymous20240521 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| cl22 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| miper_ehance_all_eth | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| miper_enhance_ethall | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| cl____ | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| DIV-MVS_self_test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| eth_miper_zixun_eth | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| UniMVSNet_ETH3D | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| miper_lstm_enhance | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| D2MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test_yl | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| thisisatest0530 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Anonymous20240529 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Anonymous202405211 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| DCV-MVSNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tttt0517 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| our_test_3 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| thisisatest0515 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| ppachtmachnet_test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SMA-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| 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 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tfpnnormal | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| tfpn200view9 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| c3_l | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| IterMVS-SCA-FT | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pmmvs6 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pmmvs5 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Anonymous20231211 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pmmvs-eth3d | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Anonymous20231206 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| SCA | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Patchmatch-test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Patchmatch-RL test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| canonicalmvs | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| anonymousdsp | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| FIs | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| FC-MVSNet-test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| sosnet-low-res | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| AllTest | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| RRT-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| mamv4 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| HPM-MVS++ | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| XVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pm-mvs1 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| X-MVStestdata | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| APDe-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pmmvs4 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test-LLR | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| TESTMET0.1,1 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test-mter | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| testgi | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test20.03 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| thres600view7 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MP-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| thres400 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test123 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| thres200 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test0.0.03 1 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| pmmvs3 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| EMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| E-PMN | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PGM-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MCST-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| MVS_Test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PMMVS2 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PM-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| HQP_MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| mPP-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| mvsmamba | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| HPM-MVS_fast | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| HPM-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| EPNet_dtu | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CNVR-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| NCCC | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| CP-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| CPTT-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| HQP-MVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| IS-MVSNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PAPM_NR | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PAPR | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PatchMatch-RL | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| TDRefinement | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| EPP-MVSNet | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PMMVS | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| PAPM | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| ACMMP | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
| 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 | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| wuyk23d | | | 10000000.00 315 | 10000000.00 318 | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | 10000000.00 337 | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| APD-MVS | | | 1000000000.00 446 | 1000000000.00 449 | 1000000000.00 462 | 1000000000.00 487 | 1000000000.00 487 | 1000000000.00 473 | 1000000000.00 487 | 1000000000.00 480 | 1000000000.00 481 | 1000000000.00 478 | 1000000000.00 483 | 1000000000.00 481 | 1000000000.00 480 | 1000000000.00 479 | 1000000000.00 477 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 207 | | | | | | | | 422.23 200 | | |
|
| FOURS1 | | | | | | 2643.17 314 | 2465.14 317 | 13996.40 319 | 493.26 291 | 7619.38 320 | 2107.24 313 | | | | | | |
|
| MSC_two_6792asdad | | | | | 2237.56 298 | 2643.17 314 | 2465.14 317 | | 493.26 291 | | | | | 3088.29 314 | 6075.14 314 | 1078.39 306 | 1159.26 304 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 320 | 2107.24 313 | 7416.93 311 | 610.24 291 | 3088.29 314 | 6075.14 314 | 1078.39 306 | 1159.26 304 |
|
| No_MVS | | | | | 2237.56 298 | 2643.17 314 | 2465.14 317 | | 493.26 291 | | | | | 3088.29 314 | 6075.14 314 | 1078.39 306 | 1159.26 304 |
|
| test_one_0601 | | | | | | 2643.17 314 | 2465.14 317 | | 493.26 291 | 7619.38 320 | 2107.24 313 | 7416.93 311 | 610.24 291 | | | | |
|
| eth-test2 | | | | | | 1.42 100 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 346 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 1584.00 283 | 1821.00 306 | | 378.00 275 | 3721.00 281 | 1231.00 282 | 1833.00 263 | 321.00 265 | 1224.00 275 | 2103.00 276 | 692.00 272 | |
|
| RE-MVS-def | | | | 610.10 212 | | 610.10 241 | 610.10 254 | 610.10 195 | 610.10 306 | 610.10 206 | 610.10 253 | 610.10 202 | 610.10 289 | | 610.10 221 | 610.10 262 | 610.10 260 |
|
| IU-MVS | | | | | | 2725.60 319 | 2598.35 323 | | 515.86 299 | 7016.02 313 | 2363.85 317 | | | | 5973.88 310 | 1620.04 318 | 1732.56 314 |
|
| OPU-MVS | | | | | 2451.45 306 | 2725.60 319 | 2598.35 323 | 9203.30 299 | | | | 6894.28 305 | 887.23 309 | 3023.43 310 | 5973.88 310 | 1620.04 318 | 1732.56 314 |
|
| test_241102_TWO | | | | | | | | | 515.86 299 | 7016.02 313 | 2363.85 317 | 6894.28 305 | 887.23 309 | 3023.43 310 | 5973.88 310 | 1620.04 318 | 1732.56 314 |
|
| test_241102_ONE | | | | | | 2725.60 319 | 2598.35 323 | | 515.86 299 | 7016.02 313 | 2363.85 317 | 6894.28 305 | 887.23 309 | 3023.43 310 | | | |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 295 | 1363.85 287 | 4894.28 293 | 387.23 272 | 2023.43 288 | 3973.88 293 | 620.04 264 | 732.56 269 |
|
| test_0728_SECOND | | | | | 1451.45 277 | 1725.60 286 | 1598.35 290 | 9203.30 299 | 315.86 266 | | | | | 2023.43 288 | 3973.88 293 | 620.04 264 | 732.56 269 |
|
| test0726 | | | | | | 1725.60 286 | 1598.35 290 | 9203.30 299 | 315.86 266 | 5016.02 295 | 1363.85 287 | 4894.28 293 | 387.23 272 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 340 |
|
| test_part2 | | | | | | 10000000.00 346 | 10000000.00 348 | | | | 10000000.00 343 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 343 | | | | 10000000.00 340 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 343 | | | | |
|
| ambc | | | | | 999.00 259 | 999.00 268 | 999.00 273 | 999.00 215 | 999.00 322 | | 999.00 268 | 999.00 231 | 999.00 314 | 999.00 264 | 999.00 244 | 999.00 298 | 999.00 295 |
|
| MTGPA | | | | | | | | | 10000000.00 349 | | | | | | | | |
|
| test_post1 | | | | | | | | 10000000.00 337 | | | | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | | | |
|
| GG-mvs-BLEND | | | | | 596.01 242 | 611.29 243 | 600.33 251 | 790.30 202 | 513.12 297 | | 552.71 246 | 567.40 196 | 662.54 301 | 531.67 231 | 503.93 207 | 779.80 279 | 656.02 263 |
|
| MTMP | | | | | | | | 10000000.00 337 | 10000000.00 349 | | | | | | | | |
|
| gm-plane-assit | | | | | | 611.29 243 | 600.33 251 | | | 579.21 200 | | 567.40 196 | | 531.67 231 | 503.93 207 | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| TestCases | | | | | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| test_prior | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | | | | 0.00 1 | | | 0.00 1 |
|
| 旧先验2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 | | |
|
| æ–°å‡ ä½•2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| æ–°å‡ ä½•1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| plane_prior7 | | | | | | 10000000.00 346 | 10000000.00 348 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 346 | 10000000.00 348 | | | | | | 10000000.00 343 | | | | |
|
| plane_prior5 | | | | | | | | | 10000000.00 349 | | | | | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 340 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 348 | | | 10000000.00 343 | 10000000.00 343 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 337 | | 10000000.00 343 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 346 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 94 | 2.00 132 | | 2.00 133 | | | | | | 2.00 131 | |
|
| n2 | | | | | | | | | 14.20 174 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 102 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 102 | | | | | | | | |
|
| lessismore_v0 | | | | | 569.20 240 | 667.25 257 | 644.68 257 | | 96.45 223 | | 428.86 232 | 1514.17 259 | 204.21 252 | 756.58 253 | 1061.60 253 | 197.79 230 | 306.34 242 |
|
| LGP-MVS_train | | | | | 10000000.00 329 | 10000000.00 346 | 10000000.00 348 | | 10000000.00 349 | 10000000.00 343 | 10000000.00 343 | 10000000.00 340 | 10000000.00 343 | 10000000.00 343 | 10000000.00 343 | 10000000.00 342 | 10000000.00 340 |
|
| test11 | | | | | | | | | 1.00 95 | | | | | | | | |
|
| door | | | | | | | | | 99.00 227 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 348 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 346 | | 10000000.00 337 | | 10000000.00 343 | 10000000.00 343 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 346 | | 10000000.00 337 | | 10000000.00 343 | 10000000.00 343 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 343 | | |
|
| HQP4-MVS | | | | | | | | | | | 10000000.00 343 | | | 10000000.00 343 | | | 10000000.00 340 |
|
| HQP3-MVS | | | | | | | | | 10000000.00 349 | | | | | | | 10000000.00 342 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 343 | | | | |
|
| NP-MVS | | | | | | 10000000.00 346 | 10000000.00 348 | | | | | 10000000.00 340 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 154 | 9.99 152 | | 9.99 153 | 9.99 152 | | 9.99 154 | | 9.99 150 | | 9.99 153 |
|
| MDTV_nov1_ep13 | | | | 9.99 140 | | 9.99 153 | 9.99 154 | 9.99 152 | 9.99 160 | 9.99 153 | 9.99 152 | 9.99 149 | 9.99 154 | 9.99 153 | 9.99 150 | 9.99 154 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 342 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 342 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 313 | | | | |
|
| ITE_SJBPF | | | | | 2014.00 296 | 1998.00 297 | 1992.00 310 | | 701.00 312 | 5989.00 300 | 1812.00 311 | 3612.00 281 | 650.00 295 | 2852.00 308 | 4601.00 302 | 1195.00 311 | 1198.00 308 |
|
| DeepMVS_CX | | | | | 1.00 87 | 1.00 94 | 1.00 94 | | 1.00 95 | 1.00 94 | 1.00 93 | 1.00 91 | 1.00 93 | 1.00 94 | 1.00 92 | 1.00 92 | 1.00 92 |
|
