| 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 |
|
| test_fmvsmconf0.1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf0.01_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmconf_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsmvis_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvsm_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_cas_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n_1920 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1_n | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis1_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_vis3_rt | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_fmvs3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| mvsany_test3 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testf1 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| APD_test2 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_f | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| SF-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 9.14 | | | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | |
|
| MVS_0304 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| TEST9 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| train_agg | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_8 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | |
|
| agg_prior | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | | 0.00 1 | | | |
|
| HFP-MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| region2R | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_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•1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| æ— å…ˆéªŒ | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | | | 0.00 1 | 0.00 1 | | 0.00 1 |
|
| 原ACMM1 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| testdata2 | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | | |
|
| testdata | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| 1314 | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| MVS | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test12 | | | | | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | | 0.00 1 | | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 |
|
| QAPM | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 |
|
| h-mvs33 | | | 0.30 33 | 0.30 34 | 0.30 39 | 0.30 45 | 0.30 46 | 0.30 46 | 0.30 47 | 0.30 46 | 0.30 45 | 0.30 43 | 0.30 45 | 0.30 46 | 0.30 44 | 0.30 44 | 0.30 44 |
|
| hse-mvs2 | | | 0.30 33 | 0.30 34 | 0.30 39 | 0.30 45 | 0.30 46 | 0.30 46 | 0.30 47 | 0.30 46 | 0.30 45 | 0.30 43 | 0.30 45 | 0.30 46 | 0.30 44 | 0.30 44 | 0.30 44 |
|
| CL-MVSNet_self_test | | | 0.30 33 | 0.30 34 | 0.30 39 | 0.30 45 | 0.30 46 | 0.30 46 | 0.30 47 | 0.30 46 | 0.30 45 | 0.30 43 | 0.30 45 | 0.30 46 | 0.30 44 | 0.30 44 | 0.30 44 |
|
| AUN-MVS | | | 0.30 33 | 0.30 34 | 0.30 39 | 0.30 45 | 0.30 46 | 0.30 46 | 0.30 47 | 0.30 46 | 0.30 45 | 0.30 43 | 0.30 45 | 0.30 46 | 0.30 44 | 0.30 44 | 0.30 44 |
|
| LCM-MVSNet | | | 0.37 37 | 0.36 38 | 0.37 43 | 0.37 49 | 0.37 50 | 0.37 50 | 0.32 51 | 0.37 50 | 0.37 49 | 0.37 47 | 0.37 49 | 0.37 50 | 0.37 48 | 0.37 48 | 0.37 48 |
|
| v144192 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v1921920 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v1192 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v1144 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v148 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v7n | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v1240 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v8 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v10 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| v2v482 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| V42 | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| GA-MVS | | | 0.40 38 | 0.40 39 | 0.40 44 | 0.40 50 | 0.40 51 | 0.40 51 | 0.40 53 | 0.40 51 | 0.40 50 | 0.40 48 | 0.40 50 | 0.40 51 | 0.40 49 | 0.40 49 | 0.40 49 |
|
| Fast-Effi-MVS+ | | | 0.41 50 | 0.40 39 | 0.41 56 | 0.41 62 | 0.41 63 | 0.41 63 | 0.35 52 | 0.41 63 | 0.41 62 | 0.41 60 | 0.41 62 | 0.41 63 | 0.41 61 | 0.41 61 | 0.41 61 |
|
| Fast-Effi-MVS+-dtu | | | 0.44 51 | 0.44 52 | 0.44 57 | 0.44 63 | 0.44 64 | 0.44 64 | 0.44 65 | 0.44 64 | 0.44 63 | 0.44 61 | 0.44 63 | 0.44 64 | 0.44 62 | 0.44 62 | 0.44 62 |
|
| Effi-MVS+-dtu | | | 0.59 53 | 0.61 55 | 0.53 58 | 0.68 71 | 0.53 65 | 0.53 65 | 0.68 73 | 0.68 72 | 0.53 64 | 0.53 62 | 0.68 71 | 0.53 65 | 0.68 70 | 0.53 63 | 0.53 63 |
|
| KD-MVS_self_test | | | 0.60 54 | 0.60 54 | 0.60 59 | 0.60 65 | 0.60 66 | 0.60 67 | 0.60 67 | 0.60 66 | 0.60 65 | 0.60 63 | 0.60 65 | 0.60 66 | 0.60 63 | 0.60 65 | 0.60 64 |
|
| EIA-MVS | | | 0.62 55 | 0.62 56 | 0.62 60 | 0.62 66 | 0.62 67 | 0.62 68 | 0.62 68 | 0.62 67 | 0.62 66 | 0.62 64 | 0.62 66 | 0.62 67 | 0.62 64 | 0.62 66 | 0.62 65 |
|
| ETV-MVS | | | 0.62 55 | 0.62 56 | 0.62 60 | 0.62 66 | 0.62 67 | 0.62 68 | 0.62 68 | 0.62 67 | 0.62 66 | 0.62 64 | 0.62 66 | 0.62 67 | 0.62 64 | 0.62 66 | 0.62 65 |
|
| CS-MVS | | | 0.62 55 | 0.62 56 | 0.62 60 | 0.62 66 | 0.62 67 | 0.62 68 | 0.62 68 | 0.62 67 | 0.62 66 | 0.62 64 | 0.62 66 | 0.62 67 | 0.62 64 | 0.62 66 | 0.62 65 |
|
| CS-MVS-test | | | 0.62 55 | 0.62 56 | 0.62 60 | 0.62 66 | 0.62 67 | 0.62 68 | 0.62 68 | 0.62 67 | 0.62 66 | 0.62 64 | 0.62 66 | 0.62 67 | 0.62 64 | 0.62 66 | 0.62 65 |
|
| Effi-MVS+ | | | 0.58 52 | 0.56 53 | 0.62 60 | 0.53 64 | 0.62 67 | 0.53 65 | 0.53 66 | 0.53 65 | 0.62 66 | 0.62 64 | 0.53 64 | 0.62 67 | 0.62 64 | 0.53 63 | 0.62 65 |
|
| EC-MVSNet | | | 0.62 55 | 0.62 56 | 0.62 60 | 0.62 66 | 0.62 67 | 0.62 68 | 0.62 68 | 0.62 67 | 0.62 66 | 0.62 64 | 0.62 66 | 0.62 67 | 0.62 64 | 0.62 66 | 0.62 65 |
|
| CDS-MVSNet | | | 0.88 60 | 0.88 61 | 0.88 66 | 0.88 72 | 0.88 73 | 0.88 73 | 0.88 74 | 0.88 73 | 0.88 72 | 0.88 70 | 0.88 72 | 0.88 73 | 0.88 71 | 0.88 71 | 0.88 71 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| TAMVS | | | 0.88 60 | 0.88 61 | 0.88 66 | 0.88 72 | 0.88 73 | 0.88 73 | 0.88 74 | 0.88 73 | 0.88 72 | 0.88 70 | 0.88 72 | 0.88 73 | 0.88 71 | 0.88 71 | 0.88 71 |
|
| LCM-MVSNet-Re | | | 0.89 62 | 0.89 63 | 0.89 68 | 0.89 74 | 0.89 75 | 0.89 75 | 0.89 76 | 0.89 75 | 0.89 74 | 0.89 72 | 0.89 74 | 0.89 75 | 0.89 73 | 0.89 73 | 0.89 73 |
|
| DeepMVS_CX |  | | | | 1.00 69 | 1.00 75 | 1.00 76 | | 1.00 77 | 1.00 76 | 1.00 75 | 1.00 73 | 1.00 75 | 1.00 76 | 1.00 74 | 1.00 74 | 1.00 74 |
|
| MDA-MVSNet-bldmvs | | | 1.20 63 | 1.20 64 | 1.20 70 | 1.20 76 | 1.20 78 | 1.20 76 | 1.20 79 | 1.20 77 | 1.20 76 | 1.20 74 | 1.20 76 | 1.20 77 | 1.20 75 | 1.20 75 | 1.20 75 |
|
| YYNet1 | | | 1.20 63 | 1.20 64 | 1.20 70 | 1.20 76 | 1.20 78 | 1.20 76 | 1.20 79 | 1.20 77 | 1.20 76 | 1.20 74 | 1.20 76 | 1.20 77 | 1.20 75 | 1.20 75 | 1.20 75 |
|
| MDA-MVSNet_test_wron | | | 1.20 63 | 1.20 64 | 1.20 70 | 1.20 76 | 1.20 78 | 1.20 76 | 1.20 79 | 1.20 77 | 1.20 76 | 1.20 74 | 1.20 76 | 1.20 77 | 1.20 75 | 1.20 75 | 1.20 75 |
|
| KD-MVS_2432*1600 | | | 1.30 66 | 1.30 67 | 1.30 73 | 1.30 79 | 1.30 81 | 1.30 79 | 1.30 82 | 1.30 80 | 1.30 79 | 1.30 77 | 1.30 79 | 1.30 80 | 1.30 78 | 1.30 78 | 1.30 78 |
|
| miper_refine_blended | | | 1.30 66 | 1.30 67 | 1.30 73 | 1.30 79 | 1.30 81 | 1.30 79 | 1.30 82 | 1.30 80 | 1.30 79 | 1.30 77 | 1.30 79 | 1.30 80 | 1.30 78 | 1.30 78 | 1.30 78 |
|
| EI-MVSNet-UG-set | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| EI-MVSNet-Vis-set | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| EI-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| Regformer | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| CVMVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| EU-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| PS-CasMVS | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| UniMVSNet_NR-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| PEN-MVS | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| TransMVSNet (Re) | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| DTE-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| DU-MVS | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| UniMVSNet (Re) | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| CP-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| WR-MVS_H | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| WR-MVS | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| NR-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| Baseline_NR-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| TranMVSNet+NR-MVSNet | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| MVSFormer | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| jason | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
| jason: jason. |
| lupinMVS | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| test_djsdf | | | 1.42 68 | 1.42 69 | 1.42 75 | 1.42 81 | 1.42 83 | 1.42 81 | 1.42 84 | 1.42 82 | 1.42 81 | 1.42 79 | 1.42 81 | 1.42 82 | 1.42 80 | 1.42 80 | 1.42 80 |
|
| alignmvs | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| nrg030 | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| LFMVS | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| VDD-MVS | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| VDDNet | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| VPNet | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| VNet | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| VPA-MVSNet | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| cascas | | | 2.00 91 | 2.00 92 | 2.00 98 | 2.00 105 | 2.00 106 | 2.00 104 | 2.00 109 | 2.00 105 | 2.00 104 | 2.00 102 | 2.00 104 | 2.00 105 | 2.00 103 | 2.00 103 | 2.00 103 |
|
| UnsupCasMVSNet_eth | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| UnsupCasMVSNet_bld | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| WTY-MVS | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| HY-MVS | | 5.90 1 | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| sss | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| Test_1112_low_res | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| 1112_ss | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| ab-mvs-re | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| ab-mvs | | | 5.90 100 | 5.90 101 | 5.90 107 | 5.90 114 | 5.90 115 | 5.90 114 | 5.90 121 | 5.90 115 | 5.90 113 | 5.90 111 | 5.90 115 | 5.90 114 | 5.90 112 | 5.90 115 | 5.90 115 |
|
| CDPH-MVS | | | 6.66 109 | 6.66 110 | 6.66 116 | 6.66 123 | 6.66 124 | 6.66 123 | 6.66 130 | 6.66 124 | 6.66 122 | 6.66 120 | 6.66 124 | 6.66 123 | 6.66 121 | 6.66 124 | 6.66 124 |
|
| dp | | | 87.20 129 | 113.80 133 | 7.42 117 | 10.50 135 | 8.88 125 | 298.82 151 | 2.70 118 | 510.35 168 | 7.79 123 | 172.93 144 | 3.37 113 | 9.16 124 | 14.00 135 | 3.71 113 | 4.23 113 |
|
| MDTV_nov1_ep13 | | | | 9.99 111 | | 9.99 124 | 9.99 126 | 9.99 124 | 9.99 132 | 9.99 125 | 9.99 124 | 9.99 121 | 9.99 126 | 9.99 125 | 9.99 122 | 9.99 126 | |
|
| xiu_mvs_v1_base_debu | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| xiu_mvs_v2_base | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| xiu_mvs_v1_base | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| xiu_mvs_v1_base_debi | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| cdsmvs_eth3d_5k | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| pcd_1.5k_mvsjas | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| PS-MVSNAJss | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| PS-MVSNAJ | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| jajsoiax | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| mvs_tets | | | 10.28 110 | 10.28 112 | 10.28 118 | 10.28 125 | 10.28 128 | 10.28 126 | 10.28 133 | 10.28 127 | 10.28 126 | 10.28 122 | 10.28 128 | 10.28 126 | 10.28 124 | 10.28 127 | 10.28 126 |
|
| SR-MVS-dyc-post | | | 11.55 120 | 11.55 122 | 11.55 130 | 11.55 136 | 11.55 139 | 11.55 136 | 11.55 145 | 11.55 137 | 11.55 137 | 11.55 132 | 11.55 139 | 11.55 136 | 11.55 134 | 11.55 137 | 11.55 136 |
|
| test_method | | | 18.29 122 | 20.89 124 | 10.50 128 | 15.00 137 | 13.00 140 | 55.00 143 | 3.00 119 | 34.00 140 | 11.50 136 | 32.50 134 | 5.00 114 | 13.50 137 | 27.00 138 | 5.00 114 | 5.00 114 |
|
| XXY-MVS | | | 15.00 121 | 15.00 123 | 15.00 131 | 15.00 137 | 15.00 141 | 15.00 137 | 15.00 147 | 15.00 138 | 15.00 139 | 15.00 133 | 15.00 143 | 15.00 138 | 15.00 136 | 15.00 139 | 15.00 138 |
|
| GeoE | | | 19.41 123 | 22.09 125 | 11.37 129 | 17.21 139 | 11.30 138 | 50.50 142 | 4.30 120 | 33.60 139 | 11.70 138 | 44.50 139 | 7.30 125 | 18.90 139 | 22.60 137 | 7.10 125 | 3.90 112 |
|
| GBi-Net | | | 44.67 128 | 49.24 130 | 30.96 132 | 47.53 144 | 47.57 146 | 126.09 144 | 8.00 131 | 76.99 145 | 26.09 140 | 73.50 141 | 11.27 138 | 30.55 140 | 61.12 143 | 12.58 138 | 14.75 137 |
|
| BH-w/o | | | 40.00 124 | 40.00 126 | 40.00 133 | 40.00 140 | 40.00 142 | 40.00 138 | 40.00 164 | 40.00 141 | 40.00 141 | 40.00 135 | 40.00 160 | 40.00 141 | 40.00 139 | 40.00 153 | 40.00 149 |
|
| BH-untuned | | | 40.00 124 | 40.00 126 | 40.00 133 | 40.00 140 | 40.00 142 | 40.00 138 | 40.00 164 | 40.00 141 | 40.00 141 | 40.00 135 | 40.00 160 | 40.00 141 | 40.00 139 | 40.00 153 | 40.00 149 |
|
| BH-RMVSNet | | | 40.00 124 | 40.00 126 | 40.00 133 | 40.00 140 | 40.00 142 | 40.00 138 | 40.00 164 | 40.00 141 | 40.00 141 | 40.00 135 | 40.00 160 | 40.00 141 | 40.00 139 | 40.00 153 | 40.00 149 |
|
| TR-MVS | | | 40.00 124 | 40.00 126 | 40.00 133 | 40.00 140 | 40.00 142 | 40.00 138 | 40.00 164 | 40.00 141 | 40.00 141 | 40.00 135 | 40.00 160 | 40.00 141 | 40.00 139 | 40.00 153 | 40.00 149 |
|
| new_pmnet | | | 88.14 130 | 98.62 131 | 56.70 137 | 98.14 151 | 56.07 147 | 246.79 146 | 15.37 148 | 148.06 146 | 50.77 145 | 143.13 142 | 23.35 144 | 62.65 145 | 93.26 144 | 68.71 161 | 51.38 159 |
|
| N_pmnet | | | 88.14 130 | 98.62 131 | 56.70 137 | 98.14 151 | 56.07 147 | 246.79 146 | 15.37 148 | 148.06 146 | 50.77 145 | 143.13 142 | 23.35 144 | 62.65 145 | 93.26 144 | 68.71 161 | 51.38 159 |
|
| FMVSNet5 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| test1 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| FMVSNet3 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| FMVSNet2 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| FMVSNet1 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| MIMVSNet1 | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| MIMVSNet | | | 124.76 136 | 140.93 138 | 76.26 145 | 107.44 154 | 100.17 159 | 329.88 155 | 27.12 156 | 259.44 157 | 74.30 153 | 204.34 148 | 30.74 149 | 92.41 147 | 196.98 151 | 38.15 146 | 36.19 140 |
|
| CANet | | | 110.62 132 | 124.04 134 | 70.34 140 | 82.03 148 | 74.27 152 | 325.54 152 | 25.25 150 | 207.16 148 | 69.28 150 | 194.38 145 | 27.53 146 | 95.79 154 | 147.76 148 | 37.43 143 | 40.97 153 |
|
| CANet_DTU | | | 110.62 132 | 124.04 134 | 70.34 140 | 82.03 148 | 74.27 152 | 325.54 152 | 25.25 150 | 207.16 148 | 69.28 150 | 194.38 145 | 27.53 146 | 95.79 154 | 147.76 148 | 37.43 143 | 40.97 153 |
|
| UGNet | | | 110.62 132 | 124.04 134 | 70.34 140 | 82.03 148 | 74.27 152 | 325.54 152 | 25.25 150 | 207.16 148 | 69.28 150 | 194.38 145 | 27.53 146 | 95.79 154 | 147.76 148 | 37.43 143 | 40.97 153 |
| 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 |
| PVSNet_Blended_VisFu | | | 136.90 144 | 155.40 146 | 81.40 152 | 111.00 161 | 96.20 156 | 407.00 162 | 25.90 153 | 251.60 154 | 85.10 160 | 240.50 156 | 37.00 156 | 99.90 157 | 199.80 158 | 40.70 157 | 48.10 156 |
|
| PVSNet_BlendedMVS | | | 136.90 144 | 155.40 146 | 81.40 152 | 111.00 161 | 96.20 156 | 407.00 162 | 25.90 153 | 251.60 154 | 85.10 160 | 240.50 156 | 37.00 156 | 99.90 157 | 199.80 158 | 40.70 157 | 48.10 156 |
|
| PVSNet_Blended | | | 136.90 144 | 155.40 146 | 81.40 152 | 111.00 161 | 96.20 156 | 407.00 162 | 25.90 153 | 251.60 154 | 85.10 160 | 240.50 156 | 37.00 156 | 99.90 157 | 199.80 158 | 40.70 157 | 48.10 156 |
|
| MTAPA | | | 833442.10 265 | 1111233.77 271 | 67.09 139 | 65.59 145 | 64.81 149 | 284.50 148 | 10000000.00 304 | 219.97 151 | 59.62 147 | 229.89 155 | 12.72 140 | 103.00 160 | 203.67 161 | 27.93 140 | 33.46 139 |
|
| DSMNet-mixed | | | 131.33 143 | 143.00 145 | 96.33 155 | 99.00 153 | 81.00 155 | 201.00 145 | 45.00 169 | 335.00 164 | 99.00 163 | 251.00 159 | 38.00 159 | 110.00 161 | 120.00 147 | 99.00 166 | 98.00 163 |
|
| MP-MVS-pluss | | | 833433.63 264 | 1111219.60 270 | 75.70 143 | 74.28 146 | 73.29 150 | 284.50 148 | 11.35 143 | 238.58 152 | 65.86 148 | 255.35 160 | 14.55 141 | 115.69 162 | 10000000.00 298 | 31.94 141 | 38.12 147 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| ACMMP_NAP | | | 118.81 135 | 133.18 137 | 75.70 143 | 74.28 146 | 73.29 150 | 284.50 148 | 11.35 143 | 238.58 152 | 65.86 148 | 255.35 160 | 14.55 141 | 115.69 162 | 222.18 162 | 31.94 141 | 38.12 147 |
|
| FE-MVS | | | 207.10 147 | 234.26 149 | 125.61 156 | 180.34 164 | 153.23 166 | 635.64 169 | 30.05 163 | 378.38 165 | 127.68 164 | 377.08 162 | 48.95 164 | 154.43 164 | 266.67 163 | 63.56 160 | 69.18 161 |
|
| tmp_tt | | | 371.08 153 | 412.78 154 | 246.00 163 | 231.00 166 | 197.00 169 | 1293.00 192 | 376.00 229 | 756.00 182 | 609.00 207 | 71.00 140 | 106.00 179 | 195.00 165 | 102.00 146 | 171.00 179 | 346.00 203 |
|
| FA-MVS(test-final) | | | 261.15 148 | 293.29 150 | 164.72 157 | 236.23 167 | 199.99 170 | 800.05 174 | 42.35 168 | 475.87 167 | 155.47 165 | 470.67 164 | 58.49 165 | 205.24 166 | 319.44 164 | 81.03 163 | 88.93 162 |
|
| DeepC-MVS_fast | | 2190.19 12 | 1535.59 209 | 1886.82 213 | 481.89 188 | 847.73 216 | 830.16 222 | 7943.84 247 | 189.23 214 | 2398.83 227 | 691.73 214 | 2341.13 224 | 209.16 208 | 230.25 167 | 1999.25 230 | 360.46 210 | 385.25 208 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DP-MVS | | | 264.78 149 | 296.02 151 | 171.04 158 | 191.70 165 | 183.96 167 | 827.10 175 | 78.36 172 | 438.24 166 | 176.64 166 | 435.12 163 | 65.04 167 | 230.52 168 | 334.02 165 | 117.96 170 | 98.64 164 |
|
| SSC-MVS | | | 320.23 151 | 364.09 153 | 188.66 159 | 260.78 169 | 193.84 168 | 975.93 179 | 73.11 171 | 596.72 173 | 185.29 167 | 589.02 170 | 74.47 169 | 246.01 169 | 427.42 169 | 94.06 165 | 126.12 166 |
|
| WB-MVS | | | 316.44 150 | 357.41 152 | 193.51 160 | 257.06 168 | 213.32 172 | 914.45 176 | 49.03 170 | 600.77 174 | 186.42 168 | 634.00 173 | 75.03 170 | 251.35 170 | 411.39 167 | 88.55 164 | 115.87 165 |
|
| RPSCF | | | 394.81 155 | 445.63 157 | 242.35 162 | 276.55 171 | 253.63 174 | 1207.27 189 | 90.69 177 | 715.56 177 | 241.57 171 | 684.87 174 | 111.96 180 | 320.02 171 | 548.38 178 | 133.81 171 | 153.39 171 |
|
| testing3 | | | 418.10 156 | 469.06 158 | 265.23 165 | 335.69 174 | 290.63 177 | 1240.88 190 | 93.72 178 | 717.99 178 | 215.31 169 | 811.97 184 | 232.41 212 | 358.74 172 | 458.67 170 | 114.88 167 | 146.32 169 |
|
| Syy-MVS | | | 370.76 152 | 415.60 155 | 236.25 161 | 310.54 172 | 210.76 171 | 965.13 177 | 98.58 183 | 746.06 180 | 266.26 172 | 788.85 178 | 91.37 173 | 364.76 173 | 357.17 166 | 116.42 168 | 133.22 167 |
|
| myMVS_eth3d | | | 390.90 154 | 437.44 156 | 251.28 164 | 310.54 172 | 255.86 175 | 965.13 177 | 98.58 183 | 746.06 180 | 266.26 172 | 788.85 178 | 154.95 185 | 364.76 173 | 490.19 171 | 116.42 168 | 133.22 167 |
|
| DELS-MVS | | | 514.57 164 | 587.73 167 | 295.12 169 | 343.03 175 | 328.09 180 | 1540.48 197 | 116.22 190 | 988.59 188 | 325.44 180 | 906.22 186 | 119.86 182 | 365.72 175 | 788.60 191 | 161.09 176 | 191.55 179 |
| 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 |
| tpmvs | | | 501.65 163 | 567.42 165 | 304.33 170 | 395.39 180 | 356.32 181 | 1512.04 196 | 216.53 216 | 994.15 189 | 350.16 182 | 804.16 183 | 119.38 181 | 380.98 176 | 555.14 179 | 159.87 175 | 175.69 175 |
|
| EG-PatchMatch MVS | | | 437.03 157 | 493.12 161 | 268.77 166 | 264.80 170 | 260.20 176 | 1491.80 195 | 98.00 182 | 723.20 179 | 238.80 170 | 722.40 175 | 63.10 166 | 382.00 177 | 629.00 182 | 207.00 186 | 164.10 174 |
|
| DP-MVS Recon | | | 516.25 165 | 581.17 166 | 321.48 172 | 361.02 176 | 429.00 188 | 1995.36 201 | 78.48 173 | 796.20 183 | 283.32 176 | 796.02 180 | 96.78 174 | 382.98 178 | 636.72 184 | 186.66 183 | 152.46 170 |
|
| MVP-Stereo | | | 473.58 160 | 533.67 162 | 293.33 167 | 376.00 178 | 318.00 178 | 1461.00 193 | 96.00 179 | 835.00 184 | 290.00 177 | 804.00 181 | 97.00 175 | 383.00 179 | 688.00 189 | 156.00 172 | 179.00 176 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| MS-PatchMatch | | | 473.58 160 | 533.67 162 | 293.33 167 | 376.00 178 | 318.00 178 | 1461.00 193 | 96.00 179 | 835.00 184 | 290.00 177 | 804.00 181 | 97.00 175 | 383.00 179 | 688.00 189 | 156.00 172 | 179.00 176 |
|
| PatchmatchNet |  | | 492.52 162 | 551.22 164 | 316.40 171 | 400.20 181 | 357.90 182 | 1277.10 191 | 115.80 189 | 1034.60 196 | 315.90 179 | 874.00 185 | 155.10 186 | 402.20 181 | 629.50 183 | 158.80 174 | 189.10 178 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| ADS-MVSNet2 | | | 443.33 158 | 482.84 159 | 324.79 173 | 434.94 185 | 387.73 184 | 1110.57 187 | 87.69 175 | 887.02 186 | 282.92 174 | 779.29 176 | 98.57 177 | 422.76 182 | 502.40 172 | 162.19 177 | 163.87 172 |
|
| ADS-MVSNet | | | 443.33 158 | 482.84 159 | 324.79 173 | 434.94 185 | 387.73 184 | 1110.57 187 | 87.69 175 | 887.02 186 | 282.92 174 | 779.29 176 | 98.57 177 | 422.76 182 | 502.40 172 | 162.19 177 | 163.87 172 |
|
| IB-MVS | | 872.44 4 | 616.41 170 | 700.96 173 | 362.78 175 | 426.10 184 | 409.25 186 | 1822.69 198 | 124.42 199 | 1186.23 199 | 366.85 184 | 1079.42 198 | 190.60 200 | 451.78 184 | 930.72 196 | 181.59 181 | 227.30 182 |
| 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 |
| IterMVS | | | 615.05 169 | 691.66 172 | 385.23 177 | 516.40 188 | 454.80 189 | 1863.80 199 | 102.10 186 | 1142.20 198 | 364.10 183 | 1093.20 200 | 135.00 183 | 480.40 185 | 826.90 192 | 181.20 180 | 220.50 181 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| GG-mvs-BLEND | | | | | 596.01 197 | 611.29 197 | 600.33 206 | 790.30 171 | 513.12 252 | | 552.71 201 | 567.40 165 | 662.54 256 | 531.67 186 | 503.93 174 | 779.80 234 | 656.02 218 |
|
| gm-plane-assit | | | | | | 611.29 197 | 600.33 206 | | | 579.21 169 | | 567.40 165 | | 531.67 186 | 503.93 174 | | |
|
| gg-mvs-nofinetune | | | 594.69 166 | 605.37 168 | 562.67 194 | 617.29 201 | 500.33 192 | 772.30 170 | 413.12 237 | 579.21 169 | 552.71 201 | 567.40 165 | 662.54 256 | 531.67 186 | 503.93 174 | 779.80 234 | 656.02 218 |
|
| CR-MVSNet | | | 612.36 168 | 617.81 171 | 596.01 197 | 611.29 197 | 600.33 206 | 790.30 171 | 513.12 252 | 579.21 169 | 552.71 201 | 567.40 165 | 662.54 256 | 531.67 186 | 503.93 174 | 779.80 234 | 656.02 218 |
|
| CSCG | | | 826.03 185 | 963.29 190 | 414.24 178 | 421.52 183 | 426.11 187 | 2230.35 202 | 179.52 212 | 1827.44 219 | 733.43 218 | 933.12 188 | 281.25 214 | 545.23 190 | 1800.35 226 | 262.64 200 | 271.38 191 |
|
| Gipuma | | | 689.75 172 | 767.00 175 | 458.00 186 | 613.00 200 | 549.00 204 | 1943.00 200 | 187.00 213 | 1230.00 200 | 518.00 198 | 1092.00 199 | 203.00 206 | 564.00 191 | 892.00 195 | 225.00 196 | 261.00 190 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| mvs_anonymous | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
|
| casdiffmvs | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
| 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 | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
| 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 | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
|
| baseline1 | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
|
| casdiffmvs_mvg | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
| 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 | | | 774.90 176 | 882.28 182 | 452.77 179 | 636.50 202 | 537.20 195 | 2348.80 205 | 120.30 191 | 1504.30 207 | 474.40 189 | 1371.10 206 | 186.90 192 | 564.70 192 | 1078.90 209 | 219.30 189 | 256.40 183 |
|
| ACMH+ | | 729.97 2 | 661.38 171 | 754.00 174 | 383.51 176 | 368.96 177 | 376.38 183 | 2483.74 214 | 82.42 174 | 1089.25 197 | 333.39 181 | 1219.68 201 | 66.53 168 | 573.60 199 | 957.86 197 | 184.14 182 | 200.56 180 |
|
| IterMVS-LS | | | 758.94 173 | 856.56 178 | 466.10 187 | 606.60 193 | 546.80 202 | 2309.90 203 | 122.20 198 | 1402.80 204 | 463.50 188 | 1348.20 203 | 192.60 201 | 574.60 200 | 1028.60 207 | 234.60 198 | 276.90 192 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| K. test v3 | | | 877.74 188 | 980.16 191 | 570.46 196 | 1316.85 234 | 813.15 221 | 2565.52 216 | 103.78 187 | 1509.49 214 | 548.33 200 | 1258.90 202 | 219.93 211 | 587.82 201 | 1102.37 216 | 196.30 184 | 310.42 198 |
|
| SR-MVS | | | 610.10 167 | 610.10 169 | 610.10 199 | 610.10 195 | 610.10 209 | 610.10 167 | 610.10 261 | 610.10 175 | 610.10 208 | 610.10 171 | 610.10 244 | 610.10 202 | 610.10 180 | 610.10 217 | 610.10 215 |
|
| RPMNet | | | 787.26 183 | 829.13 176 | 661.63 203 | 885.90 217 | 895.90 226 | 455.98 165 | 610.10 261 | 1297.17 201 | 1002.26 230 | 1001.67 196 | 655.98 254 | 611.10 203 | 667.90 186 | 885.21 246 | 477.90 212 |
|
| new-patchmatchnet | | | 766.12 174 | 859.03 179 | 487.38 190 | 595.68 190 | 536.14 194 | 2346.27 204 | 142.51 204 | 1488.08 206 | 422.43 185 | 1361.32 205 | 163.65 189 | 628.60 204 | 1003.74 206 | 207.61 187 | 297.41 196 |
|
| SixPastTwentyTwo | | | 773.62 175 | 869.37 181 | 486.35 189 | 603.45 192 | 547.15 203 | 2532.14 215 | 106.92 188 | 1434.95 205 | 428.08 186 | 1360.56 204 | 165.15 190 | 628.96 205 | 984.09 198 | 209.01 188 | 282.94 193 |
|
| PVSNet | | 1207.94 6 | 829.56 186 | 937.18 189 | 506.69 191 | 645.55 209 | 585.72 205 | 2477.98 213 | 130.52 200 | 1578.29 215 | 509.50 197 | 1460.01 213 | 194.90 202 | 637.19 206 | 1170.78 217 | 267.07 202 | 297.17 195 |
|
| MVSTER | | | 890.06 189 | 1005.91 198 | 542.52 192 | 736.13 214 | 653.90 213 | 2616.56 217 | 145.22 206 | 1692.10 218 | 555.69 204 | 1554.72 215 | 266.25 213 | 660.02 207 | 1219.66 218 | 266.84 201 | 313.64 199 |
|
| lessismore_v0 | | | | | 569.20 195 | 667.25 211 | 644.68 212 | | 96.45 181 | | 428.86 187 | 1514.17 214 | 204.21 207 | 756.58 208 | 1061.60 208 | 197.79 185 | 306.34 197 |
|
| JIA-IIPM | | | 804.30 184 | 835.64 177 | 710.26 208 | 885.90 217 | 895.90 226 | 455.98 165 | 668.73 266 | 1297.17 201 | 1002.26 230 | 1001.67 196 | 655.98 254 | 756.98 209 | 667.90 186 | 885.21 246 | 477.90 212 |
|
| test_0402 | | | 1110.00 201 | 1260.00 204 | 660.00 202 | 900.00 220 | 780.00 220 | 3300.00 219 | 210.00 215 | 2040.00 223 | 690.00 213 | 1950.00 220 | 300.00 217 | 810.00 210 | 1620.00 223 | 330.00 209 | 390.00 209 |
|
| ACMH | | 993.80 5 | 967.92 191 | 1106.11 201 | 553.33 193 | 494.00 187 | 534.00 193 | 3581.00 220 | 136.00 201 | 1585.00 216 | 478.00 196 | 1871.00 219 | 90.00 171 | 839.00 211 | 1460.00 220 | 260.00 199 | 287.00 194 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| TSAR-MVS + GP. | | | 1386.84 207 | 1622.84 211 | 678.81 207 | 952.13 221 | 840.17 223 | 5358.21 231 | 170.75 211 | 2650.47 230 | 713.54 216 | 2394.28 227 | 209.42 209 | 855.56 212 | 1854.36 227 | 302.42 206 | 340.71 202 |
|
| MVS_111021_LR | | | 1136.45 202 | 1298.72 205 | 649.64 201 | 756.17 215 | 726.26 217 | 3785.94 221 | 138.15 203 | 2190.64 225 | 629.63 211 | 2064.39 222 | 165.45 191 | 874.83 213 | 1678.43 225 | 279.70 203 | 347.82 204 |
|
| PVSNet_0 | | 1661.03 9 | 968.54 192 | 1066.82 200 | 673.70 206 | 706.94 212 | 695.69 214 | 2669.02 218 | 153.52 208 | 2108.17 224 | 605.54 206 | 1679.14 216 | 213.26 210 | 886.75 214 | 1236.76 219 | 229.01 197 | 438.67 211 |
|
| ACMP | | 1246.57 7 | 1086.24 199 | 1235.17 203 | 639.45 200 | 596.53 191 | 639.91 211 | 3904.24 223 | 152.04 207 | 1851.54 220 | 566.58 205 | 1997.95 221 | 138.50 184 | 938.30 215 | 1605.46 222 | 303.70 208 | 340.14 201 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| ACMM | | 1311.08 8 | 1165.06 203 | 1332.72 206 | 662.07 204 | 584.90 189 | 715.99 216 | 4373.59 227 | 153.99 209 | 1880.27 221 | 709.02 215 | 2316.97 223 | 188.63 199 | 939.89 216 | 1484.30 221 | 302.78 207 | 330.34 200 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| Patchmtry | | | 1090.75 200 | 1198.88 202 | 766.38 212 | 1290.90 232 | 485.90 190 | 2423.98 212 | 1267.30 284 | 1297.17 201 | 923.90 220 | 923.40 187 | 1215.54 277 | 990.23 217 | 667.90 186 | 779.80 234 | 823.02 232 |
|
| PatchT | | | 856.34 187 | 860.99 180 | 842.38 213 | 1290.90 232 | 880.90 224 | 790.30 171 | 1267.30 284 | 579.21 169 | 923.90 220 | 567.40 165 | 662.54 256 | 990.23 217 | 887.56 194 | 779.80 234 | 656.02 218 |
|
| ambc | | | | | 999.00 214 | 999.00 222 | 999.00 228 | 999.00 180 | 999.00 277 | | 999.00 223 | 999.00 189 | 999.00 269 | 999.00 219 | 999.00 199 | 999.00 253 | 999.00 250 |
|
| OurMVSNet-221017-0 | | | 999.00 193 | 999.00 192 | 999.00 214 | 999.00 222 | 999.00 228 | 999.00 180 | 999.00 277 | 999.00 190 | 999.00 223 | 999.00 189 | 999.00 269 | 999.00 219 | 999.00 199 | 999.00 253 | 999.00 250 |
|
| EPMVS | | | 999.00 193 | 999.00 192 | 999.00 214 | 999.00 222 | 999.00 228 | 999.00 180 | 999.00 277 | 999.00 190 | 999.00 223 | 999.00 189 | 999.00 269 | 999.00 219 | 999.00 199 | 999.00 253 | 999.00 250 |
|
| uanet_test | | | 1000.00 195 | 1000.00 194 | 1000.00 217 | 1000.00 225 | 1000.00 231 | 1000.00 183 | 1000.00 280 | 1000.00 192 | 1000.00 226 | 1000.00 192 | 1000.00 272 | 1000.00 222 | 1000.00 202 | 1000.00 256 | 1000.00 253 |
|
| sosnet | | | 1000.00 195 | 1000.00 194 | 1000.00 217 | 1000.00 225 | 1000.00 231 | 1000.00 183 | 1000.00 280 | 1000.00 192 | 1000.00 226 | 1000.00 192 | 1000.00 272 | 1000.00 222 | 1000.00 202 | 1000.00 256 | 1000.00 253 |
|
| USDC | | | 1000.00 195 | 1000.00 194 | 1000.00 217 | 1000.00 225 | 1000.00 231 | 1000.00 183 | 1000.00 280 | 1000.00 192 | 1000.00 226 | 1000.00 192 | 1000.00 272 | 1000.00 222 | 1000.00 202 | 1000.00 256 | 1000.00 253 |
|
| TinyColmap | | | 1000.00 195 | 1000.00 194 | 1000.00 217 | 1000.00 225 | 1000.00 231 | 1000.00 183 | 1000.00 280 | 1000.00 192 | 1000.00 226 | 1000.00 192 | 1000.00 272 | 1000.00 222 | 1000.00 202 | 1000.00 256 | 1000.00 253 |
|
| MG-MVS | | | 1256.50 205 | 1432.00 208 | 730.00 209 | 610.00 194 | 760.00 218 | 4720.00 228 | 169.00 210 | 1920.00 222 | 723.00 217 | 2510.00 229 | 201.00 204 | 1050.00 226 | 1645.00 224 | 390.00 212 | 380.00 207 |
|
| ACMMPR | | | 1296.60 206 | 1480.82 209 | 743.96 211 | 899.25 219 | 763.47 219 | 4305.47 226 | 143.90 205 | 2530.94 229 | 683.99 212 | 2346.34 225 | 201.65 205 | 1098.25 227 | 1920.59 228 | 295.21 204 | 370.16 205 |
|
| PMVS | | 863.65 3 | 957.08 190 | 1054.11 199 | 666.00 205 | 401.00 182 | 495.00 191 | 3790.00 222 | 279.00 218 | 1607.00 217 | 521.00 199 | 1745.00 217 | 90.00 171 | 1105.00 228 | 639.00 185 | 415.00 213 | 398.00 210 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| MSLP-MVS++ | | | 1242.93 204 | 1411.08 207 | 738.48 210 | 712.71 213 | 712.68 215 | 4168.17 225 | 136.50 202 | 2276.40 226 | 613.28 210 | 2368.60 226 | 161.61 188 | 1130.38 229 | 1964.54 229 | 297.88 205 | 372.39 206 |
|
| ZD-MVS | | | | | | 1584.00 237 | 1821.00 261 | | 378.00 230 | 3721.00 236 | 1231.00 237 | 1833.00 218 | 321.00 220 | 1224.00 230 | 2103.00 231 | 692.00 227 | |
|
| MVS-HIRNet | | | 2125.39 214 | 2452.68 217 | 1143.53 223 | 2938.33 277 | 1446.92 240 | 6083.19 232 | 391.74 231 | 3801.71 237 | 1202.10 236 | 3439.72 232 | 492.73 235 | 1304.35 231 | 3048.25 239 | 676.32 222 | 679.32 223 |
|
| COLMAP_ROB | | 2144.59 11 | 1658.33 210 | 1869.33 212 | 1025.33 221 | 1030.00 229 | 1023.00 235 | 5311.00 230 | 359.00 227 | 3044.00 231 | 937.00 222 | 2892.00 230 | 332.00 221 | 1440.00 232 | 2312.00 232 | 607.00 216 | 613.00 217 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| OpenMVS_ROB | | 1936.51 10 | 1959.51 212 | 2224.88 216 | 1163.39 224 | 1253.91 231 | 1434.22 239 | 7065.71 237 | 272.76 217 | 2472.29 228 | 1647.54 262 | 3538.72 234 | 200.37 203 | 1496.48 233 | 2575.17 235 | 997.45 252 | 559.48 214 |
|
| F-COLMAP | | | 1878.17 211 | 2113.11 214 | 1173.33 225 | 1231.00 230 | 1174.00 236 | 6297.00 233 | 392.00 232 | 3356.00 234 | 1087.00 232 | 3082.00 231 | 361.00 225 | 1670.00 234 | 2523.00 234 | 689.00 223 | 676.00 222 |
|
| FPMVS | | | 1407.00 208 | 1495.59 210 | 1141.23 222 | 648.01 210 | 893.85 225 | 4124.00 224 | 503.81 251 | 3219.04 232 | 742.72 219 | 2498.84 228 | 157.98 187 | 1727.83 235 | 832.93 193 | 732.98 233 | 802.00 227 |
|
| PCF-MVS | | 4335.85 20 | 2272.23 217 | 2597.03 220 | 1297.84 226 | 1701.20 239 | 1332.37 237 | 8105.11 248 | 451.45 240 | 4031.84 239 | 1099.10 233 | 3966.50 238 | 467.45 233 | 1734.05 236 | 2701.68 237 | 848.94 243 | 827.11 233 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| CHOSEN 280x420 | | | 2340.81 218 | 2643.03 221 | 1434.14 228 | 2025.55 256 | 1629.36 248 | 6542.40 234 | 412.49 234 | 4219.70 241 | 1547.02 250 | 4328.52 240 | 650.74 251 | 1798.26 237 | 3333.17 241 | 727.72 230 | 874.79 237 |
|
| CHOSEN 1792x2688 | | | 2340.81 218 | 2643.03 221 | 1434.14 228 | 2025.55 256 | 1629.36 248 | 6542.40 234 | 412.49 234 | 4219.70 241 | 1547.02 250 | 4328.52 240 | 650.74 251 | 1798.26 237 | 3333.17 241 | 727.72 230 | 874.79 237 |
|
| HyFIR lowres test | | | 2340.81 218 | 2643.03 221 | 1434.14 228 | 2025.55 256 | 1629.36 248 | 6542.40 234 | 412.49 234 | 4219.70 241 | 1547.02 250 | 4328.52 240 | 650.74 251 | 1798.26 237 | 3333.17 241 | 727.72 230 | 874.79 237 |
|
| PLC | | 2858.82 16 | 2192.92 215 | 2474.00 218 | 1349.67 227 | 1407.00 235 | 1356.00 238 | 7164.00 238 | 475.00 244 | 3970.00 238 | 1237.00 239 | 3765.00 237 | 451.00 232 | 1891.00 240 | 3006.00 238 | 791.00 239 | 802.00 227 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| AdaColmap |  | | 2570.77 223 | 2948.61 226 | 1437.24 231 | 1873.64 249 | 1526.60 242 | 7819.77 245 | 373.97 228 | 4970.45 248 | 1479.29 247 | 4648.46 245 | 525.80 238 | 1904.97 241 | 4150.42 252 | 695.69 229 | 880.14 240 |
|
| OpenMVS | | 2352.88 13 | 2263.08 216 | 2530.89 219 | 1459.67 234 | 1767.00 247 | 1591.00 244 | 7932.00 246 | 399.00 233 | 3643.00 235 | 1176.00 235 | 3569.00 235 | 297.00 216 | 1927.00 242 | 3302.00 240 | 693.00 228 | 861.00 236 |
|
| test_0728_THIRD | | | | | | | | | | 5016.02 250 | 1363.85 242 | 4894.28 248 | 387.23 227 | 2023.43 243 | 3973.88 248 | 620.04 219 | 732.56 224 |
|
| test_0728_SECOND | | | | | 1451.45 232 | 1725.60 240 | 1598.35 245 | 9203.30 254 | 315.86 221 | | | | | 2023.43 243 | 3973.88 248 | 620.04 219 | 732.56 224 |
|
| SD-MVS | | | 2654.53 224 | 3055.56 229 | 1451.45 232 | 1725.60 240 | 1598.35 245 | 9203.30 254 | 315.86 221 | 5016.02 250 | 1363.85 242 | 4894.28 248 | 387.23 227 | 2023.43 243 | 3973.88 248 | 620.04 219 | 732.56 224 |
| 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 |
| CMPMVS | | 2623.62 15 | 1983.08 213 | 2156.14 215 | 1463.89 235 | 1414.80 236 | 1517.00 241 | 5239.20 229 | 867.40 271 | 3310.30 233 | 1128.70 234 | 3489.90 233 | 366.75 226 | 2030.20 246 | 2427.60 233 | 1160.60 265 | 844.46 235 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| 3Dnovator | | 2482.06 14 | 2531.17 221 | 2839.56 224 | 1606.00 236 | 1732.00 243 | 1557.00 243 | 8375.00 250 | 483.00 245 | 4370.00 244 | 1371.00 245 | 4200.00 239 | 350.00 223 | 2207.00 247 | 3877.00 247 | 798.00 240 | 1054.00 257 |
|
| DeepPCF-MVS | | 3452.42 18 | 2670.71 225 | 3021.57 227 | 1618.12 237 | 2377.67 263 | 1751.39 257 | 8915.70 253 | 567.44 259 | 4569.74 246 | 1236.84 238 | 4615.63 244 | 513.23 236 | 2291.32 248 | 3515.48 244 | 882.39 245 | 811.66 229 |
|
| LF4IMVS | | | 2699.50 226 | 3049.67 228 | 1649.00 238 | 1755.00 244 | 1689.00 252 | 8330.00 249 | 464.00 242 | 4997.00 249 | 1528.00 248 | 4763.00 247 | 568.00 242 | 2296.00 249 | 4215.00 253 | 827.00 242 | 962.00 247 |
|
| tpmrst | | | 2557.50 222 | 2847.12 225 | 1688.66 239 | 1784.08 248 | 1778.25 258 | 7445.50 244 | 342.14 224 | 4471.54 245 | 1534.55 249 | 4382.10 243 | 530.10 239 | 2361.21 250 | 4142.81 251 | 991.22 251 | 926.51 242 |
|
| GST-MVS | | | 4000.00 244 | 4533.33 245 | 2400.00 256 | 2400.00 264 | 2400.00 271 | 7200.00 239 | 2400.00 288 | 7200.00 274 | 2400.00 276 | 7200.00 264 | 2400.00 282 | 2400.00 251 | 7200.00 275 | 2400.00 279 | 2400.00 278 |
|
| DVP-MVS++ | | | 3981.10 242 | 4731.32 247 | 1730.42 241 | 2191.51 259 | 1949.98 263 | 16473.90 279 | 355.33 225 | 7172.90 272 | 1622.98 260 | 7879.79 270 | 434.33 230 | 2428.11 252 | 5762.12 262 | 689.04 224 | 813.18 230 |
|
| DVP-MVS | | | 3981.10 242 | 4731.32 247 | 1730.42 241 | 2191.51 259 | 1949.98 263 | 16473.90 279 | 355.33 225 | 7172.90 272 | 1622.98 260 | 7879.79 270 | 434.33 230 | 2428.11 252 | 5762.12 262 | 689.04 224 | 813.18 230 |
| 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 |
| DeepC-MVS | | 3917.13 19 | 3155.06 231 | 3601.83 234 | 1814.72 245 | 2515.52 266 | 1941.53 262 | 10432.50 268 | 589.42 260 | 4789.45 247 | 1298.65 241 | 7677.31 269 | 578.35 243 | 2589.53 254 | 3611.78 246 | 923.52 248 | 913.10 241 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| MVS_111021_HR | | | 3742.80 240 | 4330.34 243 | 1980.20 248 | 2484.31 265 | 2259.52 270 | 14973.80 277 | 515.90 258 | 6500.13 264 | 1949.21 267 | 6146.89 256 | 535.66 240 | 2593.66 255 | 4880.76 258 | 986.37 250 | 1087.43 258 |
|
| DPM-MVS | | | 3268.00 232 | 3762.89 235 | 1783.33 243 | 1756.00 245 | 1806.00 259 | 12319.00 270 | 307.00 219 | 6319.00 261 | 1557.00 253 | 5763.00 254 | 302.00 218 | 2609.00 256 | 5061.00 259 | 482.00 214 | 935.00 244 |
|
| OPM-MVS | | | 3268.00 232 | 3762.89 235 | 1783.33 243 | 1756.00 245 | 1806.00 259 | 12319.00 270 | 307.00 219 | 6319.00 261 | 1557.00 253 | 5763.00 254 | 302.00 218 | 2609.00 256 | 5061.00 259 | 482.00 214 | 935.00 244 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| 3Dnovator+ | | 3414.41 17 | 3146.67 230 | 3537.00 233 | 1975.67 247 | 2310.00 261 | 2005.00 266 | 10100.00 266 | 626.00 264 | 5753.00 254 | 1803.00 265 | 5179.00 253 | 487.00 234 | 2622.00 258 | 4550.00 256 | 1025.00 260 | 1300.00 264 |
|
| TSAR-MVS + MP. | | | 3528.01 235 | 4065.89 242 | 1914.35 246 | 2349.10 262 | 2141.30 268 | 12362.70 272 | 417.60 238 | 6717.80 267 | 1759.40 264 | 6497.50 257 | 518.18 237 | 2629.38 259 | 5164.32 261 | 806.40 241 | 972.38 249 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| SteuartSystems-ACMMP | | | 2891.50 229 | 3284.78 232 | 1711.67 240 | 1954.00 250 | 1655.00 251 | 10117.00 267 | 445.00 239 | 5102.00 253 | 1375.00 246 | 5126.00 252 | 351.00 224 | 2638.00 260 | 4402.00 255 | 691.00 226 | 842.00 234 |
| Skip Steuart: Steuart Systems R&D Blog. |
| TAPA-MVS | | 6309.84 21 | 3374.90 234 | 3806.99 237 | 2078.63 252 | 2535.47 267 | 2499.25 277 | 8816.16 252 | 456.05 241 | 6255.60 260 | 1664.52 263 | 6704.88 259 | 629.95 249 | 2768.38 261 | 6343.93 273 | 856.35 244 | 968.25 248 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| EGC-MVSNET | | | 2819.75 227 | 3096.89 230 | 1988.33 249 | 3105.00 278 | 2241.00 269 | 9480.00 258 | 640.00 265 | 4209.00 240 | 1583.00 255 | 4740.00 246 | 547.00 241 | 2797.00 262 | 2644.00 236 | 924.00 249 | 927.00 243 |
|
| ITE_SJBPF | | | | | 2014.00 251 | 1998.00 251 | 1992.00 265 | | 701.00 267 | 5989.00 255 | 1812.00 266 | 3612.00 236 | 650.00 250 | 2852.00 263 | 4601.00 257 | 1195.00 266 | 1198.00 263 |
|
| Vis-MVSNet | | | 2877.42 228 | 3170.00 231 | 1999.67 250 | 1673.00 238 | 2042.00 267 | 8593.00 251 | 474.00 243 | 6452.00 263 | 1268.00 240 | 5125.00 251 | 339.00 222 | 3004.00 264 | 4222.00 254 | 384.00 211 | 953.00 246 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| OPU-MVS | | | | | 2451.45 261 | 2725.60 273 | 2598.35 278 | 9203.30 254 | | | | 6894.28 260 | 887.23 264 | 3023.43 265 | 5973.88 265 | 1620.04 273 | 1732.56 269 |
|
| test_241102_TWO | | | | | | | | | 515.86 254 | 7016.02 268 | 2363.85 272 | 6894.28 260 | 887.23 264 | 3023.43 265 | 5973.88 265 | 1620.04 273 | 1732.56 269 |
|
| test_241102_ONE | | | | | | 2725.60 273 | 2598.35 278 | | 515.86 254 | 7016.02 268 | 2363.85 272 | 6894.28 260 | 887.23 264 | 3023.43 265 | | | |
|
| MSP-MVS | | | 4296.20 246 | 4911.12 250 | 2451.45 261 | 2725.60 273 | 2598.35 278 | 16203.30 278 | 515.86 254 | 7016.02 268 | 2363.85 272 | 6894.28 260 | 887.23 264 | 3023.43 265 | 5973.88 265 | 1620.04 273 | 1732.56 269 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| MSC_two_6792asdad | | | | | 2237.56 253 | 2643.17 268 | 2465.14 272 | | 493.26 246 | | | | | 3088.29 269 | 6075.14 269 | 1078.39 261 | 1159.26 259 |
|
| PC_three_1452 | | | | | | | | | | 7619.38 275 | 2107.24 268 | 7416.93 266 | 610.24 246 | 3088.29 269 | 6075.14 269 | 1078.39 261 | 1159.26 259 |
|
| No_MVS | | | | | 2237.56 253 | 2643.17 268 | 2465.14 272 | | 493.26 246 | | | | | 3088.29 269 | 6075.14 269 | 1078.39 261 | 1159.26 259 |
|
| SED-MVS | | | 4062.74 245 | 4671.13 246 | 2237.56 253 | 2643.17 268 | 2465.14 272 | 13996.40 274 | 493.26 246 | 7619.38 275 | 2107.24 268 | 7416.93 266 | 610.24 246 | 3088.29 269 | 6075.14 269 | 1078.39 261 | 1159.26 259 |
|
| MAR-MVS | | | 3973.16 241 | 4387.92 244 | 2728.86 263 | 3345.27 279 | 3341.39 284 | 11403.90 269 | 798.76 269 | 6555.62 266 | 2569.29 277 | 6514.86 258 | 834.97 263 | 3237.43 273 | 5891.08 264 | 1577.54 272 | 1607.76 265 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| API-MVS | | | 4380.83 247 | 4906.56 249 | 2803.67 264 | 3844.00 280 | 3116.00 283 | 13454.00 273 | 901.00 276 | 6511.00 265 | 2794.00 278 | 7365.00 265 | 754.00 260 | 3634.00 274 | 6622.00 274 | 1914.00 278 | 1661.00 268 |
|
| OMC-MVS | | | 5022.26 248 | 5748.82 251 | 2842.58 265 | 4905.27 282 | 3101.27 282 | 14933.60 276 | 812.24 270 | 9278.40 279 | 2959.29 279 | 8800.17 276 | 1092.24 276 | 3806.30 275 | 7568.54 281 | 1389.60 271 | 1620.18 267 |
|
| tpm2 | | | 3617.85 236 | 4007.23 238 | 2449.73 257 | 2012.71 252 | 1698.05 253 | 7351.19 240 | 869.29 272 | 6132.06 256 | 1588.28 256 | 8007.42 272 | 1281.09 278 | 3888.11 276 | 7472.04 277 | 1351.00 267 | 1763.02 273 |
|
| tpm cat1 | | | 3617.85 236 | 4007.23 238 | 2449.73 257 | 2012.71 252 | 1698.05 253 | 7351.19 240 | 869.29 272 | 6132.06 256 | 1588.28 256 | 8007.42 272 | 1281.09 278 | 3888.11 276 | 7472.04 277 | 1351.00 267 | 1763.02 273 |
|
| CostFormer | | | 3617.85 236 | 4007.23 238 | 2449.73 257 | 2012.71 252 | 1698.05 253 | 7351.19 240 | 869.29 272 | 6132.06 256 | 1588.28 256 | 8007.42 272 | 1281.09 278 | 3888.11 276 | 7472.04 277 | 1351.00 267 | 1763.02 273 |
|
| tpm | | | 3617.85 236 | 4007.23 238 | 2449.73 257 | 2012.71 252 | 1698.05 253 | 7351.19 240 | 869.29 272 | 6132.06 256 | 1588.28 256 | 8007.42 272 | 1281.09 278 | 3888.11 276 | 7472.04 277 | 1351.00 267 | 1763.02 273 |
|
| CLD-MVS | | | 7338.25 249 | 8341.00 252 | 4330.00 266 | 4902.00 281 | 4991.00 285 | 23318.00 282 | 728.00 268 | 14437.00 289 | 4378.00 281 | 13379.00 284 | 824.00 262 | 5708.00 280 | 11429.00 290 | 1674.00 277 | 2291.00 277 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| LS3D | | | 7684.71 250 | 8776.23 253 | 4410.16 267 | 5298.55 283 | 5631.53 286 | 34329.90 284 | 1504.57 286 | 11554.00 288 | 3896.41 280 | 15111.00 285 | 812.19 261 | 5985.63 281 | 3516.20 245 | 2963.23 280 | 1613.31 266 |
|
| ZNCC-MVS | | | 9999.00 251 | 9999.00 254 | 9999.00 269 | 9999.00 286 | 9999.00 289 | 9999.00 259 | 9999.00 292 | 9999.00 280 | 9999.00 284 | 9999.00 277 | 9999.00 285 | 9999.00 282 | 9999.00 282 | 9999.00 283 | 9999.00 281 |
|
| patch_mono-2 | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| dcpmvs_2 | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| DCPMVS | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| UA-Net | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| uncertanet | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| uanet | | | 10000.00 252 | 10000.00 255 | 10000.00 270 | 10000.00 287 | 10000.00 290 | 10000.00 260 | 10000.00 293 | 10000.00 281 | 10000.00 285 | 10000.00 278 | 10000.00 286 | 10000.00 283 | 10000.00 283 | 10000.00 284 | 10000.00 282 |
|
| CNLPA | | | 10738.67 259 | 11772.44 262 | 7637.33 268 | 9120.00 285 | 8206.00 287 | 22252.00 281 | 2010.00 287 | 24984.00 290 | 7458.00 283 | 22596.00 287 | 2940.00 283 | 10260.00 289 | 11100.00 289 | 3492.00 281 | 4446.00 279 |
|
| MVE | | 10021.00 22 | 10550.67 258 | 10002.44 261 | 12195.33 276 | 6242.00 284 | 8768.00 288 | 30896.00 283 | 4451.00 289 | 10331.00 287 | 6247.00 282 | 18296.00 286 | 283.00 215 | 21484.00 290 | 7364.00 276 | 5912.00 282 | 6334.00 280 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| LTVRE_ROB | | 20565.47 23 | 23378.08 260 | 22805.00 263 | 25097.33 277 | 15500.00 293 | 19201.00 296 | 42712.00 285 | 6055.00 290 | 38388.00 291 | 16926.00 291 | 38534.00 288 | 7071.00 284 | 35653.00 291 | 29475.00 291 | 10584.00 290 | 20438.00 289 |
| 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 | | | 32606.17 261 | 34443.44 264 | 27094.33 278 | 29249.00 294 | 25246.00 297 | 51144.00 286 | 6705.00 291 | 42886.00 292 | 22888.00 292 | 48534.00 289 | 13263.00 292 | 37507.00 292 | 79298.00 292 | 16024.00 291 | 18530.00 288 |
|
| 114514_t | | | 99999.00 262 | 99999.00 265 | 99999.00 279 | 99999.00 295 | 99999.00 298 | 99999.00 287 | 99999.00 299 | 99999.00 293 | 99999.00 293 | 99999.00 290 | 99999.00 293 | 99999.00 293 | 99999.00 293 | 99999.00 292 | 99999.00 290 |
|
| PHI-MVS | | | 99999.00 262 | 99999.00 265 | 99999.00 279 | 99999.00 295 | 99999.00 298 | 99999.00 287 | 99999.00 299 | 99999.00 293 | 99999.00 293 | 99999.00 290 | 99999.00 293 | 99999.00 293 | 99999.00 293 | 99999.00 292 | 99999.00 290 |
|
| XVG-OURS-SEG-HR | | | 999999.00 266 | 999999.00 267 | 999999.00 281 | 999999.00 297 | 999999.00 300 | 999999.00 289 | 999999.00 301 | 999999.00 295 | 999999.00 295 | 999999.00 292 | 999999.00 295 | 999999.00 295 | 999999.00 295 | 999999.00 294 | 999999.00 292 |
|
| XVG-OURS | | | 999999.00 266 | 999999.00 267 | 999999.00 281 | 999999.00 297 | 999999.00 300 | 999999.00 289 | 999999.00 301 | 999999.00 295 | 999999.00 295 | 999999.00 292 | 999999.00 295 | 999999.00 295 | 999999.00 295 | 999999.00 294 | 999999.00 292 |
|
| XVG-ACMP-BASELINE | | | 999999.00 266 | 999999.00 267 | 999999.00 281 | 999999.00 297 | 999999.00 300 | 999999.00 289 | 999999.00 301 | 999999.00 295 | 999999.00 295 | 999999.00 292 | 999999.00 295 | 999999.00 295 | 999999.00 295 | 999999.00 294 | 999999.00 292 |
|
| dmvs_re | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| SDMVSNet | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| dmvs_testset | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| sd_testset | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| iter_conf_final | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| bld_raw_dy_0_64 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test2506 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test1111 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| ECVR-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test_blank | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| tt0805 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Anonymous20240521 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| cl22 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| miper_ehance_all_eth | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| miper_enhance_ethall | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| cl____ | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| DIV-MVS_self_test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| eth_miper_zixun_eth | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| ET-MVSNet_ETH3D | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| UniMVSNet_ETH3D | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| miper_lstm_enhance | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| D2MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test_yl | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| thisisatest0530 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Anonymous20240529 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Anonymous202405211 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| DCV-MVSNet | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| tttt0517 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| our_test_3 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| thisisatest0515 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| ppachtmachnet_test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| SMA-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| 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 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| thres100view900 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| tfpnnormal | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| tfpn200view9 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| c3_l | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| IterMVS-SCA-FT | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pmmvs6 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pmmvs5 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test_post1 | | | | | | | | 10000000.00 292 | | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | | |
|
| test_post | | | | | | | | | | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | | | |
|
| Anonymous20231211 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pmmvs-eth3d | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Anonymous20231206 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| SCA | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Patchmatch-test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Patchmatch-RL test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| canonicalmvs | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| anonymousdsp | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| FIs | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| FC-MVSNet-test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| sosnet-low-res | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| AllTest | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| TestCases | | | | | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| iter_conf05 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| RRT_MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| HPM-MVS++ | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| XVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pm-mvs1 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| X-MVStestdata | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| APDe-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pmmvs4 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test-LLR | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| TESTMET0.1,1 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test-mter | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| testgi | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test20.03 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| thres600view7 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| MP-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| thres400 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test123 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| thres200 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| test0.0.03 1 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| pmmvs3 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| EMVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| E-PMN | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PGM-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| MCST-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| MVS_Test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PMMVS2 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PM-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| HQP_MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| plane_prior5 | | | | | | | | | 10000000.00 304 | | | | | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| mPP-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| mvsmamba | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| HPM-MVS_fast | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| HPM-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| LPG-MVS_test | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| LGP-MVS_train | | | | | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| EPNet_dtu | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| EPNet | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP4-MVS | | | | | | | | | | | 10000000.00 298 | | | 10000000.00 298 | | | 10000000.00 295 |
|
| CNVR-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| NCCC | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| CP-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| CPTT-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| HQP-MVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| IS-MVSNet | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PAPM_NR | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PAPR | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| Vis-MVSNet (Re-imp) | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PatchMatch-RL | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| TDRefinement | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| EPP-MVSNet | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PMMVS | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| PAPM | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| ACMMP | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
| 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 | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| wuyk23d | | | 10000000.00 269 | 10000000.00 272 | 10000000.00 284 | 10000000.00 300 | 10000000.00 303 | 10000000.00 292 | 10000000.00 304 | 10000000.00 298 | 10000000.00 298 | 10000000.00 295 | 10000000.00 298 | 10000000.00 298 | 10000000.00 298 | 10000000.00 297 | 10000000.00 295 |
|
| APD-MVS | | | 1000000000.00 375 | 1000000000.00 378 | 1000000000.00 392 | 1000000000.00 416 | 1000000000.00 417 | 1000000000.00 403 | 1000000000.00 417 | 1000000000.00 410 | 1000000000.00 411 | 1000000000.00 408 | 1000000000.00 413 | 1000000000.00 411 | 1000000000.00 410 | 1000000000.00 409 | 1000000000.00 407 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| WAC-MVS | | | | | | | 248.46 173 | | | | | | | | 422.23 168 | | |
|
| FOURS1 | | | | | | 2643.17 268 | 2465.14 272 | 13996.40 274 | 493.26 246 | 7619.38 275 | 2107.24 268 | | | | | | |
|
| test_one_0601 | | | | | | 2643.17 268 | 2465.14 272 | | 493.26 246 | 7619.38 275 | 2107.24 268 | 7416.93 266 | 610.24 246 | | | | |
|
| eth-test2 | | | | | | 1.42 81 | | | | | | | | | | | |
|
| eth-test | | | | | | 10000000.00 300 | | | | | | | | | | | |
|
| RE-MVS-def | | | | 610.10 169 | | 610.10 195 | 610.10 209 | 610.10 167 | 610.10 261 | 610.10 175 | 610.10 208 | 610.10 171 | 610.10 244 | | 610.10 180 | 610.10 217 | 610.10 215 |
|
| IU-MVS | | | | | | 2725.60 273 | 2598.35 278 | | 515.86 254 | 7016.02 268 | 2363.85 272 | | | | 5973.88 265 | 1620.04 273 | 1732.56 269 |
|
| save fliter | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | | | | | |
|
| test0726 | | | | | | 1725.60 240 | 1598.35 245 | 9203.30 254 | 315.86 221 | 5016.02 250 | 1363.85 242 | 4894.28 248 | 387.23 227 | | | | |
|
| GSMVS | | | | | | | | | | | | | | | | | 10000000.00 295 |
|
| test_part2 | | | | | | 10000000.00 300 | 10000000.00 303 | | | | 10000000.00 298 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 10000000.00 298 | | | | 10000000.00 295 |
|
| sam_mvs | | | | | | | | | | | | | 10000000.00 298 | | | | |
|
| MTGPA | | | | | | | | | 10000000.00 304 | | | | | | | | |
|
| MTMP | | | | | | | | 10000000.00 292 | 10000000.00 304 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| agg_prior2 | | | | | | | | | | | | | | | 0.00 1 | 0.00 1 | 0.00 1 |
|
| test_prior4 | | | | | | | 0.00 1 | 0.00 1 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 0.00 1 | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | 0.00 1 | 0.00 1 | |
|
| æ–°å‡ ä½•2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| 旧先验1 | | | | | | 0.00 1 | 0.00 1 | | 0.00 1 | | | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| 原ACMM2 | | | | | | | | 0.00 1 | | | | | | | | | |
|
| test222 | | | | | | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | 0.00 1 | | | 0.00 1 | 0.00 1 |
|
| segment_acmp | | | | | | | | | | | | | 0.00 1 | | | | |
|
| testdata1 | | | | | | | | 0.00 1 | | 0.00 1 | | | | | | | |
|
| plane_prior7 | | | | | | 10000000.00 300 | 10000000.00 303 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 10000000.00 300 | 10000000.00 303 | | | | | | 10000000.00 298 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 10000000.00 295 | | | | | |
|
| plane_prior3 | | | | | | | 10000000.00 303 | | | 10000000.00 298 | 10000000.00 298 | | | | | | |
|
| plane_prior2 | | | | | | | | 10000000.00 292 | | 10000000.00 298 | | | | | | | |
|
| plane_prior1 | | | | | | 10000000.00 300 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 1.00 76 | 2.00 104 | | 2.00 105 | | | | | | 2.00 103 | |
|
| n2 | | | | | | | | | 14.20 146 | | | | | | | | |
|
| nn | | | | | | | | | 1.42 84 | | | | | | | | |
|
| door-mid | | | | | | | | | 1.42 84 | | | | | | | | |
|
| test11 | | | | | | | | | 1.00 77 | | | | | | | | |
|
| door | | | | | | | | | 99.00 185 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 10000000.00 303 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 10000000.00 300 | | 10000000.00 292 | | 10000000.00 298 | 10000000.00 298 | | | | | | |
|
| ACMP_Plane | | | | | | 10000000.00 300 | | 10000000.00 292 | | 10000000.00 298 | 10000000.00 298 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 10000000.00 298 | | |
|
| HQP3-MVS | | | | | | | | | 10000000.00 304 | | | | | | | 10000000.00 297 | |
|
| HQP2-MVS | | | | | | | | | | | | | 10000000.00 298 | | | | |
|
| NP-MVS | | | | | | 10000000.00 300 | 10000000.00 303 | | | | | 10000000.00 295 | | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 9.99 126 | 9.99 124 | | 9.99 125 | 9.99 124 | | 9.99 126 | | 9.99 122 | | 9.99 125 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 10000000.00 297 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 10000000.00 297 | |
|
| Test By Simon | | | | | | | | | | | | | 990.00 268 | | | | |
|
